Training in progress, step 40
Browse files- .gitattributes +1 -0
- 00000000-0000-0000-0000-000000000000.yml +50 -0
- 01b60291-41f3-4631-b7e8-f7c60c2ca163.yml +53 -0
- 03a659ff-e350-4bb9-8ff3-8c658a5d0dff.yml +52 -0
- 077fd330-87f9-4bc4-b449-7713fbdaf1b0.yml +51 -0
- 1dc178e8-8f66-48ae-8ebb-825428c168d0.yml +53 -0
- 21315ae5-16ee-43cd-9612-743524060933.yml +50 -0
- 284c3982-7bc3-4e42-a78c-849f03798c5f.yml +51 -0
- 2eaa630f-7785-4ca3-b46f-be41dcf74f78.yml +51 -0
- 40f27435-f59d-488f-b2d6-01e356d79c48.yml +50 -0
- 427d02be-6008-4556-9a5e-9c7cb7503058.yml +51 -0
- 54c39bbc-809b-4c67-a254-0e03a4884b4e.yml +51 -0
- 5ff7bf5f-96dc-43dd-aeeb-560c0ab78db8.yml +51 -0
- 63345f8a-4ec9-47f0-9956-6eaa52b2c2a6.yml +52 -0
- 6c7ae056-3b4d-460b-ba7b-a4000f32b3f1.yml +51 -0
- 75b21ca4-feab-4bdd-92b0-ea6d90dfa18f.yml +51 -0
- 7a4a0d08-b201-4939-999e-8cad606c5cdd.yml +50 -0
- 879db250-c3f5-4d43-a7c5-c5a456ae5803.yml +50 -0
- 8910478d-79cf-499e-8fed-7a2142f7ee60.yml +51 -0
- README.md +126 -0
- added_tokens.json +6 -0
- ba646963-47d5-4d28-bb73-74fd1aef7feb.yml +50 -0
- config.json +29 -0
- da9e44b3-e4fb-4905-9c7c-6b03aad6b593.yml +51 -0
- e51d7c64-39d2-4079-b777-8892db299c2a.yml +51 -0
- ee62f35d-1a99-4f1c-a69c-c91bc444b71f.yml +53 -0
- ef61f40b-eca8-4670-964b-fdd3d1d0f066.yml +51 -0
- generation_config.json +7 -0
- merges.txt +0 -0
- model.safetensors +3 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +30 -0
- tokenizer.json +3 -0
- tokenizer.model +3 -0
- tokenizer_config.json +51 -0
- training_args.bin +3 -0
- vocab.json +0 -0
.gitattributes
CHANGED
@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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00000000-0000-0000-0000-000000000000.yml
ADDED
@@ -0,0 +1,50 @@
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+
base_model: peft-internal-testing/tiny-dummy-qwen2
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batch_size: 8
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+
bf16: true
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chat_template: tokenizer_default_fallback_alpaca
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datasets:
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- format: custom
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path: argilla/databricks-dolly-15k-curated-en
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type:
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field_input: original-instruction
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lr_scheduler: cosine
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micro_batch_size: 1
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model_type: AutoModelForCausalLM
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num_epochs: 100
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optimizer: adamw_bnb_8bit
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output_dir: /workspace/axolotl/configs
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tokenizer_type: Qwen2TokenizerFast
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train_on_inputs: false
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wandb_mode: online
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wandb_project: Gradients-On-Demand
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wandb_run: your_name
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xformers_attention: true
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01b60291-41f3-4631-b7e8-f7c60c2ca163.yml
ADDED
@@ -0,0 +1,53 @@
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+
base_model: huggyllama/llama-7b
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batch_size: 32
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bf16: true
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chat_template: tokenizer_default_fallback_alpaca
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datasets:
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- data_files:
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- ccd32583f980ebf0_train_data.json
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ds_type: json
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format: custom
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path: /workspace/input_data/ccd32583f980ebf0_train_data.json
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type:
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field_input: ''
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field_instruction: problem
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field_output: solution
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format: '{instruction}'
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system_prompt: ''
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eval_steps: 20
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flash_attention: true
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gpu_memory_limit: 80GiB
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hub_model_id: willtensora/fa36bf4c-34a6-4e51-ae14-a8372bf92b39
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hub_strategy: checkpoint
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learning_rate: 0.0002
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27 |
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logging_steps: 10
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28 |
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lr_scheduler: cosine
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29 |
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max_steps: 2500
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30 |
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micro_batch_size: 4
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31 |
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model_type: AutoModelForCausalLM
|
32 |
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optimizer: adamw_bnb_8bit
|
33 |
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output_dir: /workspace/axolotl/configs
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34 |
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pad_to_sequence_len: true
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35 |
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resize_token_embeddings_to_32x: false
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36 |
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sample_packing: false
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37 |
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save_steps: 40
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38 |
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save_total_limit: 1
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39 |
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sequence_len: 2048
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40 |
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special_tokens:
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pad_token: </s>
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tokenizer_type: LlamaTokenizerFast
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43 |
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train_on_inputs: false
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44 |
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trust_remote_code: true
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45 |
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val_set_size: 0.1
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46 |
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wandb_entity: ''
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wandb_mode: online
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48 |
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wandb_name: huggyllama/llama-7b-/workspace/input_data/ccd32583f980ebf0_train_data.json
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wandb_project: Gradients-On-Demand
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50 |
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wandb_run: your_name
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wandb_runid: default
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warmup_ratio: 0.05
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xformers_attention: true
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03a659ff-e350-4bb9-8ff3-8c658a5d0dff.yml
ADDED
@@ -0,0 +1,52 @@
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1 |
+
base_model: fxmarty/tiny-llama-fast-tokenizer
|
2 |
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batch_size: 32
|
3 |
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bf16: true
|
4 |
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chat_template: tokenizer_default_fallback_alpaca
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5 |
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datasets:
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6 |
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- data_files:
|
7 |
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- fc6136aac03f618a_train_data.json
|
8 |
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ds_type: json
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9 |
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format: custom
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10 |
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path: /workspace/input_data/fc6136aac03f618a_train_data.json
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11 |
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type:
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field_instruction: text
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field_output: title
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format: '{instruction}'
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no_input_format: '{instruction}'
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system_prompt: ''
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eval_steps: 20
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flash_attention: true
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gpu_memory_limit: 80GiB
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group_by_length: true
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hub_model_id: willtensora/b1c9c4ec-ffa2-429d-9c5b-90b5979c502d
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hub_strategy: checkpoint
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25 |
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learning_rate: 0.0002
|
26 |
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logging_steps: 10
|
27 |
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lr_scheduler: cosine
|
28 |
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max_steps: 2500
|
29 |
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micro_batch_size: 4
|
30 |
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model_type: AutoModelForCausalLM
|
31 |
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optimizer: adamw_bnb_8bit
|
32 |
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output_dir: /workspace/axolotl/configs
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33 |
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pad_to_sequence_len: true
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34 |
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resize_token_embeddings_to_32x: false
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35 |
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sample_packing: false
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36 |
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save_steps: 40
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37 |
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save_total_limit: 1
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38 |
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sequence_len: 2048
|
39 |
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special_tokens:
|
40 |
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pad_token: </s>
|
41 |
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tokenizer_type: LlamaTokenizerFast
|
42 |
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train_on_inputs: false
|
43 |
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trust_remote_code: true
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44 |
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val_set_size: 0.1
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45 |
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wandb_entity: ''
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46 |
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wandb_mode: online
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wandb_name: fxmarty/tiny-llama-fast-tokenizer-/workspace/input_data/fc6136aac03f618a_train_data.json
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48 |
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wandb_project: Gradients-On-Demand
|
49 |
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wandb_run: your_name
|
50 |
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wandb_runid: default
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51 |
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warmup_ratio: 0.05
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52 |
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xformers_attention: true
|
077fd330-87f9-4bc4-b449-7713fbdaf1b0.yml
ADDED
@@ -0,0 +1,51 @@
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1 |
+
base_model: unsloth/mistral-7b-v0.3
|
2 |
+
batch_size: 32
|
3 |
+
bf16: true
|
4 |
+
chat_template: tokenizer_default_fallback_alpaca
|
5 |
+
datasets:
|
6 |
+
- data_files:
|
7 |
+
- ca0152973425c947_train_data.json
|
8 |
+
ds_type: json
|
9 |
+
format: custom
|
10 |
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path: /workspace/input_data/ca0152973425c947_train_data.json
|
11 |
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type:
|
12 |
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field_input: code
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13 |
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field_instruction: func_name
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field_output: docstring
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format: '{instruction} {input}'
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no_input_format: '{instruction}'
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system_prompt: ''
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eval_steps: 20
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20 |
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flash_attention: true
|
21 |
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gpu_memory_limit: 80GiB
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22 |
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gradient_checkpointing: true
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23 |
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group_by_length: true
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24 |
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hub_model_id: willtensora/5a2f5ce6-446b-4282-bb4d-9ee4e970231f
|
25 |
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hub_strategy: checkpoint
|
26 |
+
learning_rate: 0.0002
|
27 |
+
logging_steps: 10
|
28 |
+
lr_scheduler: cosine
|
29 |
+
max_steps: 2500
|
30 |
+
micro_batch_size: 4
|
31 |
+
model_type: AutoModelForCausalLM
|
32 |
+
optimizer: adamw_bnb_8bit
|
33 |
+
output_dir: /workspace/axolotl/configs
|
34 |
+
pad_to_sequence_len: true
|
35 |
+
resize_token_embeddings_to_32x: false
|
36 |
+
sample_packing: false
|
37 |
+
save_steps: 40
|
38 |
+
save_total_limit: 1
|
39 |
+
sequence_len: 2048
|
40 |
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tokenizer_type: LlamaTokenizerFast
|
41 |
+
train_on_inputs: false
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42 |
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trust_remote_code: true
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43 |
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val_set_size: 0.1
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44 |
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wandb_entity: ''
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45 |
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wandb_mode: online
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46 |
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wandb_name: unsloth/mistral-7b-v0.3-/tmp/ca0152973425c947_train_data.json
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47 |
+
wandb_project: Gradients-On-Demand
|
48 |
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wandb_run: your_name
|
49 |
+
wandb_runid: default
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50 |
+
warmup_ratio: 0.05
|
51 |
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xformers_attention: true
|
1dc178e8-8f66-48ae-8ebb-825428c168d0.yml
ADDED
@@ -0,0 +1,53 @@
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1 |
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base_model: NousResearch/Yarn-Mistral-7b-64k
|
2 |
+
batch_size: 32
|
3 |
+
bf16: true
|
4 |
+
chat_template: tokenizer_default_fallback_alpaca
|
5 |
+
datasets:
|
6 |
+
- data_files:
|
7 |
+
- bccab6bcbcb6fc03_train_data.json
|
8 |
+
ds_type: json
|
9 |
+
format: custom
|
10 |
+
path: /workspace/input_data/bccab6bcbcb6fc03_train_data.json
|
11 |
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type:
|
12 |
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field_input: choices
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13 |
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field_instruction: full_prompt
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14 |
+
field_output: example
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15 |
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format: '{instruction} {input}'
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16 |
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no_input_format: '{instruction}'
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17 |
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system_format: '{system}'
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18 |
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system_prompt: ''
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19 |
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eval_steps: 20
|
20 |
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flash_attention: true
|
21 |
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gpu_memory_limit: 80GiB
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22 |
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gradient_checkpointing: true
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23 |
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group_by_length: true
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24 |
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hub_model_id: willtensora/93085afc-6d0b-49ca-ac4a-839ea57462a9
|
25 |
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hub_strategy: checkpoint
|
26 |
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learning_rate: 0.0002
|
27 |
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logging_steps: 10
|
28 |
+
lr_scheduler: cosine
|
29 |
+
max_steps: 2500
|
30 |
+
micro_batch_size: 4
|
31 |
+
model_type: AutoModelForCausalLM
|
32 |
+
optimizer: adamw_bnb_8bit
|
33 |
+
output_dir: /workspace/axolotl/configs
|
34 |
+
pad_to_sequence_len: true
|
35 |
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resize_token_embeddings_to_32x: false
|
36 |
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sample_packing: false
|
37 |
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save_steps: 40
|
38 |
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save_total_limit: 1
|
39 |
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sequence_len: 2048
|
40 |
+
special_tokens:
|
41 |
+
pad_token: </s>
|
42 |
+
tokenizer_type: LlamaTokenizerFast
|
43 |
+
train_on_inputs: false
|
44 |
+
trust_remote_code: true
|
45 |
+
val_set_size: 0.1
|
46 |
+
wandb_entity: ''
|
47 |
+
wandb_mode: online
|
48 |
+
wandb_name: NousResearch/Yarn-Mistral-7b-64k-/workspace/input_data/bccab6bcbcb6fc03_train_data.json
|
49 |
+
wandb_project: Gradients-On-Demand
|
50 |
+
wandb_run: your_name
|
51 |
+
wandb_runid: default
|
52 |
+
warmup_ratio: 0.05
|
53 |
+
xformers_attention: true
|
21315ae5-16ee-43cd-9612-743524060933.yml
ADDED
@@ -0,0 +1,50 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
base_model: unsloth/Meta-Llama-3.1-8B
|
2 |
+
batch_size: 32
|
3 |
+
bf16: true
|
4 |
+
chat_template: tokenizer_default_fallback_alpaca
|
5 |
+
datasets:
|
6 |
+
- data_files:
|
7 |
+
- 562fa3aeea07046a_train_data.json
|
8 |
+
ds_type: json
|
9 |
+
format: custom
|
10 |
+
path: /workspace/input_data/562fa3aeea07046a_train_data.json
|
11 |
+
type:
|
12 |
+
field_instruction: prompt
|
13 |
+
field_output: text
|
14 |
+
format: '{instruction}'
|
15 |
+
no_input_format: '{instruction}'
|
16 |
+
system_format: '{system}'
|
17 |
+
system_prompt: ''
|
18 |
+
eval_steps: 20
|
19 |
+
flash_attention: true
|
20 |
+
gpu_memory_limit: 80GiB
|
21 |
+
gradient_checkpointing: true
|
22 |
+
group_by_length: true
|
23 |
+
hub_model_id: willtensora/c4596edc-efad-4776-86a1-caa06bffcada
|
24 |
+
hub_strategy: checkpoint
|
25 |
+
learning_rate: 0.0002
|
26 |
+
logging_steps: 10
|
27 |
+
lr_scheduler: cosine
|
28 |
+
max_steps: 2500
|
29 |
+
micro_batch_size: 4
|
30 |
+
model_type: AutoModelForCausalLM
|
31 |
+
optimizer: adamw_bnb_8bit
|
32 |
+
output_dir: /workspace/axolotl/configs
|
33 |
+
pad_to_sequence_len: true
|
34 |
+
resize_token_embeddings_to_32x: false
|
35 |
+
sample_packing: false
|
36 |
+
save_steps: 40
|
37 |
+
save_total_limit: 1
|
38 |
+
sequence_len: 2048
|
39 |
+
tokenizer_type: PreTrainedTokenizerFast
|
40 |
+
train_on_inputs: false
|
41 |
+
trust_remote_code: true
|
42 |
+
val_set_size: 0.1
|
43 |
+
wandb_entity: ''
|
44 |
+
wandb_mode: online
|
45 |
+
wandb_name: unsloth/Meta-Llama-3.1-8B-/workspace/input_data/562fa3aeea07046a_train_data.json
|
46 |
+
wandb_project: Gradients-On-Demand
|
47 |
+
wandb_run: your_name
|
48 |
+
wandb_runid: default
|
49 |
+
warmup_ratio: 0.05
|
50 |
+
xformers_attention: true
|
284c3982-7bc3-4e42-a78c-849f03798c5f.yml
ADDED
@@ -0,0 +1,51 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
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|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
base_model: unsloth/Qwen2-7B-Instruct
|
2 |
+
batch_size: 32
|
3 |
+
bf16: true
|
4 |
+
chat_template: tokenizer_default_fallback_alpaca
|
5 |
+
datasets:
|
6 |
+
- data_files:
|
7 |
+
- 3e306f9221b79797_train_data.json
|
8 |
+
ds_type: json
|
9 |
+
format: custom
|
10 |
+
path: /workspace/input_data/3e306f9221b79797_train_data.json
|
11 |
+
type:
|
12 |
+
field_input: dialogue
|
13 |
+
field_instruction: rendered_input
|
14 |
+
field_output: summary
|
15 |
+
format: '{instruction} {input}'
|
16 |
+
no_input_format: '{instruction}'
|
17 |
+
system_format: '{system}'
|
18 |
+
system_prompt: ''
|
19 |
+
eval_steps: 20
|
20 |
+
flash_attention: true
|
21 |
+
gpu_memory_limit: 80GiB
|
22 |
+
gradient_checkpointing: true
|
23 |
+
group_by_length: true
|
24 |
+
hub_model_id: willtensora/f3c9c6cc-5806-45b4-aab9-d03de6022b3a
|
25 |
+
hub_strategy: checkpoint
|
26 |
+
learning_rate: 0.0002
|
27 |
+
logging_steps: 10
|
28 |
+
lr_scheduler: cosine
|
29 |
+
max_steps: 2500
|
30 |
+
micro_batch_size: 4
|
31 |
+
model_type: AutoModelForCausalLM
|
32 |
+
optimizer: adamw_bnb_8bit
|
33 |
+
output_dir: /workspace/axolotl/configs
|
34 |
+
pad_to_sequence_len: true
|
35 |
+
resize_token_embeddings_to_32x: false
|
36 |
+
sample_packing: false
|
37 |
+
save_steps: 40
|
38 |
+
save_total_limit: 1
|
39 |
+
sequence_len: 2048
|
40 |
+
tokenizer_type: Qwen2TokenizerFast
|
41 |
+
train_on_inputs: false
|
42 |
+
trust_remote_code: true
|
43 |
+
val_set_size: 0.1
|
44 |
+
wandb_entity: ''
|
45 |
+
wandb_mode: online
|
46 |
+
wandb_name: unsloth/Qwen2-7B-Instruct-/workspace/input_data/3e306f9221b79797_train_data.json
|
47 |
+
wandb_project: Gradients-On-Demand
|
48 |
+
wandb_run: your_name
|
49 |
+
wandb_runid: default
|
50 |
+
warmup_ratio: 0.05
|
51 |
+
xformers_attention: true
|
2eaa630f-7785-4ca3-b46f-be41dcf74f78.yml
ADDED
@@ -0,0 +1,51 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
base_model: katuni4ka/tiny-random-qwen1.5-moe
|
2 |
+
batch_size: 32
|
3 |
+
bf16: true
|
4 |
+
chat_template: tokenizer_default_fallback_alpaca
|
5 |
+
datasets:
|
6 |
+
- data_files:
|
7 |
+
- 95544452e61c7393_train_data.json
|
8 |
+
ds_type: json
|
9 |
+
format: custom
|
10 |
+
path: /workspace/input_data/95544452e61c7393_train_data.json
|
11 |
+
type:
|
12 |
+
field_input: input
|
13 |
+
field_instruction: instruction
|
14 |
+
field_output: output
|
15 |
+
format: '{instruction} {input}'
|
16 |
+
no_input_format: '{instruction}'
|
17 |
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system_format: '{system}'
|
18 |
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system_prompt: ''
|
19 |
+
eval_steps: 20
|
20 |
+
flash_attention: true
|
21 |
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gpu_memory_limit: 80GiB
|
22 |
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gradient_checkpointing: true
|
23 |
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group_by_length: true
|
24 |
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hub_model_id: willtensora/e61e89f0-854a-4922-8d25-dae435e91af0
|
25 |
+
hub_strategy: checkpoint
|
26 |
+
learning_rate: 0.0002
|
27 |
+
logging_steps: 10
|
28 |
+
lr_scheduler: cosine
|
29 |
+
max_steps: 2500
|
30 |
+
micro_batch_size: 4
|
31 |
+
model_type: AutoModelForCausalLM
|
32 |
+
optimizer: adamw_bnb_8bit
|
33 |
+
output_dir: /workspace/axolotl/configs
|
34 |
+
pad_to_sequence_len: true
|
35 |
+
resize_token_embeddings_to_32x: false
|
36 |
+
sample_packing: false
|
37 |
+
save_steps: 40
|
38 |
+
save_total_limit: 1
|
39 |
+
sequence_len: 2048
|
40 |
+
tokenizer_type: Qwen2TokenizerFast
|
41 |
+
train_on_inputs: false
|
42 |
+
trust_remote_code: true
|
43 |
+
val_set_size: 0.1
|
44 |
+
wandb_entity: ''
|
45 |
+
wandb_mode: online
|
46 |
+
wandb_name: katuni4ka/tiny-random-qwen1.5-moe-/workspace/input_data/95544452e61c7393_train_data.json
|
47 |
+
wandb_project: Gradients-On-Demand
|
48 |
+
wandb_run: your_name
|
49 |
+
wandb_runid: default
|
50 |
+
warmup_ratio: 0.05
|
51 |
+
xformers_attention: true
|
40f27435-f59d-488f-b2d6-01e356d79c48.yml
ADDED
@@ -0,0 +1,50 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
base_model: Qwen/Qwen2-1.5B-Instruct
|
2 |
+
batch_size: 32
|
3 |
+
bf16: true
|
4 |
+
chat_template: tokenizer_default_fallback_alpaca
|
5 |
+
datasets:
|
6 |
+
- data_files:
|
7 |
+
- df925134bb2c32b8_train_data.json
|
8 |
+
ds_type: json
|
9 |
+
format: custom
|
10 |
+
path: /workspace/input_data/df925134bb2c32b8_train_data.json
|
11 |
+
type:
|
12 |
+
field_instruction: prompt
|
13 |
+
field_output: amoral
|
14 |
+
format: '{instruction}'
|
15 |
+
no_input_format: '{instruction}'
|
16 |
+
system_format: '{system}'
|
17 |
+
system_prompt: ''
|
18 |
+
eval_steps: 20
|
19 |
+
flash_attention: true
|
20 |
+
gpu_memory_limit: 80GiB
|
21 |
+
gradient_checkpointing: true
|
22 |
+
group_by_length: true
|
23 |
+
hub_model_id: willtensora/ba640bbe-3257-40d8-88fe-26152f412bb7
|
24 |
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hub_strategy: checkpoint
|
25 |
+
learning_rate: 0.0002
|
26 |
+
logging_steps: 10
|
27 |
+
lr_scheduler: cosine
|
28 |
+
max_steps: 2500
|
29 |
+
micro_batch_size: 4
|
30 |
+
model_type: AutoModelForCausalLM
|
31 |
+
optimizer: adamw_bnb_8bit
|
32 |
+
output_dir: /workspace/axolotl/configs
|
33 |
+
pad_to_sequence_len: true
|
34 |
+
resize_token_embeddings_to_32x: false
|
35 |
+
sample_packing: false
|
36 |
+
save_steps: 40
|
37 |
+
save_total_limit: 1
|
38 |
+
sequence_len: 2048
|
39 |
+
tokenizer_type: Qwen2TokenizerFast
|
40 |
+
train_on_inputs: false
|
41 |
+
trust_remote_code: true
|
42 |
+
val_set_size: 0.1
|
43 |
+
wandb_entity: ''
|
44 |
+
wandb_mode: online
|
45 |
+
wandb_name: Qwen/Qwen2-1.5B-Instruct-/tmp/df925134bb2c32b8_train_data.json
|
46 |
+
wandb_project: Gradients-On-Demand
|
47 |
+
wandb_run: your_name
|
48 |
+
wandb_runid: default
|
49 |
+
warmup_ratio: 0.05
|
50 |
+
xformers_attention: true
|
427d02be-6008-4556-9a5e-9c7cb7503058.yml
ADDED
@@ -0,0 +1,51 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
base_model: unsloth/Phi-3.5-mini-instruct
|
2 |
+
batch_size: 32
|
3 |
+
bf16: true
|
4 |
+
chat_template: tokenizer_default_fallback_alpaca
|
5 |
+
datasets:
|
6 |
+
- data_files:
|
7 |
+
- 7e5b54272524b996_train_data.json
|
8 |
+
ds_type: json
|
9 |
+
format: custom
|
10 |
+
path: /workspace/input_data/7e5b54272524b996_train_data.json
|
11 |
+
type:
|
12 |
+
field_input: input
|
13 |
+
field_instruction: instruction
|
14 |
+
field_output: output
|
15 |
+
format: '{instruction} {input}'
|
16 |
+
no_input_format: '{instruction}'
|
17 |
+
system_format: '{system}'
|
18 |
+
system_prompt: ''
|
19 |
+
eval_steps: 20
|
20 |
+
flash_attention: true
|
21 |
+
gpu_memory_limit: 80GiB
|
22 |
+
gradient_checkpointing: true
|
23 |
+
group_by_length: true
|
24 |
+
hub_model_id: willtensora/ae26a9e9-089e-4d4a-b592-d8935df7c18d
|
25 |
+
hub_strategy: checkpoint
|
26 |
+
learning_rate: 0.0002
|
27 |
+
logging_steps: 10
|
28 |
+
lr_scheduler: cosine
|
29 |
+
max_steps: 2500
|
30 |
+
micro_batch_size: 4
|
31 |
+
model_type: AutoModelForCausalLM
|
32 |
+
optimizer: adamw_bnb_8bit
|
33 |
+
output_dir: /workspace/axolotl/configs
|
34 |
+
pad_to_sequence_len: true
|
35 |
+
resize_token_embeddings_to_32x: false
|
36 |
+
sample_packing: false
|
37 |
+
save_steps: 40
|
38 |
+
save_total_limit: 1
|
39 |
+
sequence_len: 2048
|
40 |
+
tokenizer_type: LlamaTokenizerFast
|
41 |
+
train_on_inputs: false
|
42 |
+
trust_remote_code: true
|
43 |
+
val_set_size: 0.1
|
44 |
+
wandb_entity: ''
|
45 |
+
wandb_mode: online
|
46 |
+
wandb_name: unsloth/Phi-3.5-mini-instruct-/workspace/input_data/7e5b54272524b996_train_data.json
|
47 |
+
wandb_project: Gradients-On-Demand
|
48 |
+
wandb_run: your_name
|
49 |
+
wandb_runid: default
|
50 |
+
warmup_ratio: 0.05
|
51 |
+
xformers_attention: true
|
54c39bbc-809b-4c67-a254-0e03a4884b4e.yml
ADDED
@@ -0,0 +1,51 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
base_model: unsloth/codegemma-7b-it
|
2 |
+
batch_size: 32
|
3 |
+
bf16: true
|
4 |
+
chat_template: tokenizer_default_fallback_alpaca
|
5 |
+
datasets:
|
6 |
+
- data_files:
|
7 |
+
- 2ebe89763cb3150d_train_data.json
|
8 |
+
ds_type: json
|
9 |
+
format: custom
|
10 |
+
path: /workspace/input_data/2ebe89763cb3150d_train_data.json
|
11 |
+
type:
|
12 |
+
field_input: input
|
13 |
+
field_instruction: instruction
|
14 |
+
field_output: output
|
15 |
+
format: '{instruction} {input}'
|
16 |
+
no_input_format: '{instruction}'
|
17 |
+
system_format: '{system}'
|
18 |
+
system_prompt: ''
|
19 |
+
eval_steps: 20
|
20 |
+
flash_attention: true
|
21 |
+
gpu_memory_limit: 80GiB
|
22 |
+
gradient_checkpointing: true
|
23 |
+
group_by_length: true
|
24 |
+
hub_model_id: willtensora/a0bc38f8-fcd3-4d7e-9a3f-3aa2e8a4204f
|
25 |
+
hub_strategy: checkpoint
|
26 |
+
learning_rate: 0.0002
|
27 |
+
logging_steps: 10
|
28 |
+
lr_scheduler: cosine
|
29 |
+
max_steps: 2500
|
30 |
+
micro_batch_size: 4
|
31 |
+
model_type: AutoModelForCausalLM
|
32 |
+
optimizer: adamw_bnb_8bit
|
33 |
+
output_dir: /workspace/axolotl/configs
|
34 |
+
pad_to_sequence_len: true
|
35 |
+
resize_token_embeddings_to_32x: false
|
36 |
+
sample_packing: false
|
37 |
+
save_steps: 40
|
38 |
+
save_total_limit: 1
|
39 |
+
sequence_len: 2048
|
40 |
+
tokenizer_type: GemmaTokenizerFast
|
41 |
+
train_on_inputs: false
|
42 |
+
trust_remote_code: true
|
43 |
+
val_set_size: 0.1
|
44 |
+
wandb_entity: ''
|
45 |
+
wandb_mode: online
|
46 |
+
wandb_name: unsloth/codegemma-7b-it-/tmp/2ebe89763cb3150d_train_data.json
|
47 |
+
wandb_project: Gradients-On-Demand
|
48 |
+
wandb_run: your_name
|
49 |
+
wandb_runid: default
|
50 |
+
warmup_ratio: 0.05
|
51 |
+
xformers_attention: true
|
5ff7bf5f-96dc-43dd-aeeb-560c0ab78db8.yml
ADDED
@@ -0,0 +1,51 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
base_model: NousResearch/Hermes-3-Llama-3.1-8B
|
2 |
+
batch_size: 32
|
3 |
+
bf16: true
|
4 |
+
chat_template: tokenizer_default_fallback_alpaca
|
5 |
+
datasets:
|
6 |
+
- data_files:
|
7 |
+
- 69447058613b41d8_train_data.json
|
8 |
+
ds_type: json
|
9 |
+
format: custom
|
10 |
+
path: /workspace/input_data/69447058613b41d8_train_data.json
|
11 |
+
type:
|
12 |
+
field_input: sectionParentTitre
|
13 |
+
field_instruction: title_main
|
14 |
+
field_output: texte
|
15 |
+
format: '{instruction} {input}'
|
16 |
+
no_input_format: '{instruction}'
|
17 |
+
system_format: '{system}'
|
18 |
+
system_prompt: ''
|
19 |
+
eval_steps: 20
|
20 |
+
flash_attention: true
|
21 |
+
gpu_memory_limit: 80GiB
|
22 |
+
gradient_checkpointing: true
|
23 |
+
group_by_length: true
|
24 |
+
hub_model_id: willtensora/942aa5fc-b540-46ce-b482-e38c4f637264
|
25 |
+
hub_strategy: checkpoint
|
26 |
+
learning_rate: 0.0002
|
27 |
+
logging_steps: 10
|
28 |
+
lr_scheduler: cosine
|
29 |
+
max_steps: 2500
|
30 |
+
micro_batch_size: 4
|
31 |
+
model_type: AutoModelForCausalLM
|
32 |
+
optimizer: adamw_bnb_8bit
|
33 |
+
output_dir: /workspace/axolotl/configs
|
34 |
+
pad_to_sequence_len: true
|
35 |
+
resize_token_embeddings_to_32x: false
|
36 |
+
sample_packing: false
|
37 |
+
save_steps: 40
|
38 |
+
save_total_limit: 1
|
39 |
+
sequence_len: 2048
|
40 |
+
tokenizer_type: PreTrainedTokenizerFast
|
41 |
+
train_on_inputs: false
|
42 |
+
trust_remote_code: true
|
43 |
+
val_set_size: 0.1
|
44 |
+
wandb_entity: ''
|
45 |
+
wandb_mode: online
|
46 |
+
wandb_name: NousResearch/Hermes-3-Llama-3.1-8B-/workspace/input_data/69447058613b41d8_train_data.json
|
47 |
+
wandb_project: Gradients-On-Demand
|
48 |
+
wandb_run: your_name
|
49 |
+
wandb_runid: default
|
50 |
+
warmup_ratio: 0.05
|
51 |
+
xformers_attention: true
|
63345f8a-4ec9-47f0-9956-6eaa52b2c2a6.yml
ADDED
@@ -0,0 +1,52 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
base_model: heegyu/WizardVicuna-open-llama-3b-v2
|
2 |
+
batch_size: 32
|
3 |
+
bf16: true
|
4 |
+
chat_template: tokenizer_default_fallback_alpaca
|
5 |
+
datasets:
|
6 |
+
- data_files:
|
7 |
+
- fe9267419ea75ad2_train_data.json
|
8 |
+
ds_type: json
|
9 |
+
format: custom
|
10 |
+
path: /workspace/input_data/fe9267419ea75ad2_train_data.json
|
11 |
+
type:
|
12 |
+
field_instruction: ca_topic
|
13 |
+
field_output: article
|
14 |
+
format: '{instruction}'
|
15 |
+
no_input_format: '{instruction}'
|
16 |
+
system_format: '{system}'
|
17 |
+
system_prompt: ''
|
18 |
+
eval_steps: 20
|
19 |
+
flash_attention: true
|
20 |
+
gpu_memory_limit: 80GiB
|
21 |
+
gradient_checkpointing: true
|
22 |
+
group_by_length: true
|
23 |
+
hub_model_id: willtensora/7114c34f-852f-43da-b985-b7f0b6d6d724
|
24 |
+
hub_strategy: checkpoint
|
25 |
+
learning_rate: 0.0002
|
26 |
+
logging_steps: 10
|
27 |
+
lr_scheduler: cosine
|
28 |
+
max_steps: 2500
|
29 |
+
micro_batch_size: 4
|
30 |
+
model_type: AutoModelForCausalLM
|
31 |
+
optimizer: adamw_bnb_8bit
|
32 |
+
output_dir: /workspace/axolotl/configs
|
33 |
+
pad_to_sequence_len: true
|
34 |
+
resize_token_embeddings_to_32x: false
|
35 |
+
sample_packing: false
|
36 |
+
save_steps: 40
|
37 |
+
save_total_limit: 1
|
38 |
+
sequence_len: 2048
|
39 |
+
special_tokens:
|
40 |
+
pad_token: </s>
|
41 |
+
tokenizer_type: LlamaTokenizerFast
|
42 |
+
train_on_inputs: false
|
43 |
+
trust_remote_code: true
|
44 |
+
val_set_size: 0.1
|
45 |
+
wandb_entity: ''
|
46 |
+
wandb_mode: online
|
47 |
+
wandb_name: heegyu/WizardVicuna-open-llama-3b-v2-/tmp/fe9267419ea75ad2_train_data.json
|
48 |
+
wandb_project: Gradients-On-Demand
|
49 |
+
wandb_run: your_name
|
50 |
+
wandb_runid: default
|
51 |
+
warmup_ratio: 0.05
|
52 |
+
xformers_attention: true
|
6c7ae056-3b4d-460b-ba7b-a4000f32b3f1.yml
ADDED
@@ -0,0 +1,51 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
base_model: unsloth/gemma-2-2b
|
2 |
+
batch_size: 32
|
3 |
+
bf16: true
|
4 |
+
chat_template: tokenizer_default_fallback_alpaca
|
5 |
+
datasets:
|
6 |
+
- data_files:
|
7 |
+
- b98d5b59c20c6595_train_data.json
|
8 |
+
ds_type: json
|
9 |
+
format: custom
|
10 |
+
path: /workspace/input_data/b98d5b59c20c6595_train_data.json
|
11 |
+
type:
|
12 |
+
field_input: metadata
|
13 |
+
field_instruction: text
|
14 |
+
field_output: tags_str
|
15 |
+
format: '{instruction} {input}'
|
16 |
+
no_input_format: '{instruction}'
|
17 |
+
system_format: '{system}'
|
18 |
+
system_prompt: ''
|
19 |
+
eval_steps: 20
|
20 |
+
flash_attention: true
|
21 |
+
gpu_memory_limit: 80GiB
|
22 |
+
gradient_checkpointing: true
|
23 |
+
group_by_length: true
|
24 |
+
hub_model_id: willtensora/429ee307-6dd2-4dd7-9e1d-7384d807a3df
|
25 |
+
hub_strategy: checkpoint
|
26 |
+
learning_rate: 0.0002
|
27 |
+
logging_steps: 10
|
28 |
+
lr_scheduler: cosine
|
29 |
+
max_steps: 2500
|
30 |
+
micro_batch_size: 4
|
31 |
+
model_type: AutoModelForCausalLM
|
32 |
+
optimizer: adamw_bnb_8bit
|
33 |
+
output_dir: /workspace/axolotl/configs
|
34 |
+
pad_to_sequence_len: true
|
35 |
+
resize_token_embeddings_to_32x: false
|
36 |
+
sample_packing: false
|
37 |
+
save_steps: 40
|
38 |
+
save_total_limit: 1
|
39 |
+
sequence_len: 2048
|
40 |
+
tokenizer_type: GemmaTokenizerFast
|
41 |
+
train_on_inputs: false
|
42 |
+
trust_remote_code: true
|
43 |
+
val_set_size: 0.1
|
44 |
+
wandb_entity: ''
|
45 |
+
wandb_mode: online
|
46 |
+
wandb_name: unsloth/gemma-2-2b-/tmp/b98d5b59c20c6595_train_data.json
|
47 |
+
wandb_project: Gradients-On-Demand
|
48 |
+
wandb_run: your_name
|
49 |
+
wandb_runid: default
|
50 |
+
warmup_ratio: 0.05
|
51 |
+
xformers_attention: true
|
75b21ca4-feab-4bdd-92b0-ea6d90dfa18f.yml
ADDED
@@ -0,0 +1,51 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
base_model: Qwen/Qwen2.5-1.5B-Instruct
|
2 |
+
batch_size: 32
|
3 |
+
bf16: true
|
4 |
+
chat_template: tokenizer_default_fallback_alpaca
|
5 |
+
datasets:
|
6 |
+
- data_files:
|
7 |
+
- c6adcdcb593a3ee4_train_data.json
|
8 |
+
ds_type: json
|
9 |
+
format: custom
|
10 |
+
path: /workspace/input_data/c6adcdcb593a3ee4_train_data.json
|
11 |
+
type:
|
12 |
+
field_input: abstract
|
13 |
+
field_instruction: question_en_origin
|
14 |
+
field_output: answer_en_origin
|
15 |
+
format: '{instruction} {input}'
|
16 |
+
no_input_format: '{instruction}'
|
17 |
+
system_format: '{system}'
|
18 |
+
system_prompt: ''
|
19 |
+
eval_steps: 20
|
20 |
+
flash_attention: true
|
21 |
+
gpu_memory_limit: 80GiB
|
22 |
+
gradient_checkpointing: true
|
23 |
+
group_by_length: true
|
24 |
+
hub_model_id: willtensora/2faf844e-4a0a-4d23-95f4-a055e4864133
|
25 |
+
hub_strategy: checkpoint
|
26 |
+
learning_rate: 0.0002
|
27 |
+
logging_steps: 10
|
28 |
+
lr_scheduler: cosine
|
29 |
+
max_steps: 2500
|
30 |
+
micro_batch_size: 4
|
31 |
+
model_type: AutoModelForCausalLM
|
32 |
+
optimizer: adamw_bnb_8bit
|
33 |
+
output_dir: /workspace/axolotl/configs
|
34 |
+
pad_to_sequence_len: true
|
35 |
+
resize_token_embeddings_to_32x: false
|
36 |
+
sample_packing: false
|
37 |
+
save_steps: 40
|
38 |
+
save_total_limit: 1
|
39 |
+
sequence_len: 2048
|
40 |
+
tokenizer_type: Qwen2TokenizerFast
|
41 |
+
train_on_inputs: false
|
42 |
+
trust_remote_code: true
|
43 |
+
val_set_size: 0.1
|
44 |
+
wandb_entity: ''
|
45 |
+
wandb_mode: online
|
46 |
+
wandb_name: Qwen/Qwen2.5-1.5B-Instruct-/workspace/input_data/c6adcdcb593a3ee4_train_data.json
|
47 |
+
wandb_project: Gradients-On-Demand
|
48 |
+
wandb_run: your_name
|
49 |
+
wandb_runid: default
|
50 |
+
warmup_ratio: 0.05
|
51 |
+
xformers_attention: true
|
7a4a0d08-b201-4939-999e-8cad606c5cdd.yml
ADDED
@@ -0,0 +1,50 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
base_model: NousResearch/GPT4-x-Vicuna-13b-fp16
|
2 |
+
batch_size: 32
|
3 |
+
bf16: true
|
4 |
+
chat_template: tokenizer_default_fallback_alpaca
|
5 |
+
datasets:
|
6 |
+
- data_files:
|
7 |
+
- dcf32f9d35bdd1f9_train_data.json
|
8 |
+
ds_type: json
|
9 |
+
format: custom
|
10 |
+
path: /workspace/input_data/dcf32f9d35bdd1f9_train_data.json
|
11 |
+
type:
|
12 |
+
field_instruction: doc_text
|
13 |
+
field_output: summary_text
|
14 |
+
format: '{instruction}'
|
15 |
+
no_input_format: '{instruction}'
|
16 |
+
system_format: '{system}'
|
17 |
+
system_prompt: ''
|
18 |
+
eval_steps: 20
|
19 |
+
flash_attention: true
|
20 |
+
gpu_memory_limit: 80GiB
|
21 |
+
gradient_checkpointing: true
|
22 |
+
group_by_length: true
|
23 |
+
hub_model_id: willtensora/009ef170-2771-4ab8-8e1b-9a9d2a2e1e2b
|
24 |
+
hub_strategy: checkpoint
|
25 |
+
learning_rate: 0.0002
|
26 |
+
logging_steps: 10
|
27 |
+
lr_scheduler: cosine
|
28 |
+
max_steps: 2500
|
29 |
+
micro_batch_size: 2
|
30 |
+
model_type: AutoModelForCausalLM
|
31 |
+
optimizer: adamw_bnb_8bit
|
32 |
+
output_dir: /workspace/axolotl/configs
|
33 |
+
pad_to_sequence_len: true
|
34 |
+
resize_token_embeddings_to_32x: false
|
35 |
+
sample_packing: false
|
36 |
+
save_steps: 40
|
37 |
+
save_total_limit: 1
|
38 |
+
sequence_len: 2048
|
39 |
+
tokenizer_type: LlamaTokenizerFast
|
40 |
+
train_on_inputs: false
|
41 |
+
trust_remote_code: true
|
42 |
+
val_set_size: 0.1
|
43 |
+
wandb_entity: ''
|
44 |
+
wandb_mode: online
|
45 |
+
wandb_name: NousResearch/GPT4-x-Vicuna-13b-fp16-/workspace/input_data/dcf32f9d35bdd1f9_train_data.json
|
46 |
+
wandb_project: Gradients-On-Demand
|
47 |
+
wandb_run: your_name
|
48 |
+
wandb_runid: default
|
49 |
+
warmup_ratio: 0.05
|
50 |
+
xformers_attention: true
|
879db250-c3f5-4d43-a7c5-c5a456ae5803.yml
ADDED
@@ -0,0 +1,50 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
base_model: unsloth/Qwen2.5-Coder-1.5B-Instruct
|
2 |
+
batch_size: 32
|
3 |
+
bf16: true
|
4 |
+
chat_template: tokenizer_default_fallback_alpaca
|
5 |
+
datasets:
|
6 |
+
- data_files:
|
7 |
+
- 4d85b564dafa38db_train_data.json
|
8 |
+
ds_type: json
|
9 |
+
format: custom
|
10 |
+
path: /workspace/input_data/4d85b564dafa38db_train_data.json
|
11 |
+
type:
|
12 |
+
field_instruction: prompt
|
13 |
+
field_output: response
|
14 |
+
format: '{instruction}'
|
15 |
+
no_input_format: '{instruction}'
|
16 |
+
system_format: '{system}'
|
17 |
+
system_prompt: ''
|
18 |
+
eval_steps: 20
|
19 |
+
flash_attention: true
|
20 |
+
gpu_memory_limit: 80GiB
|
21 |
+
gradient_checkpointing: true
|
22 |
+
group_by_length: true
|
23 |
+
hub_model_id: willtensora/876ff803-5357-4240-8766-c54166515403
|
24 |
+
hub_strategy: checkpoint
|
25 |
+
learning_rate: 0.0002
|
26 |
+
logging_steps: 10
|
27 |
+
lr_scheduler: cosine
|
28 |
+
max_steps: 2500
|
29 |
+
micro_batch_size: 4
|
30 |
+
model_type: AutoModelForCausalLM
|
31 |
+
optimizer: adamw_bnb_8bit
|
32 |
+
output_dir: /workspace/axolotl/configs
|
33 |
+
pad_to_sequence_len: true
|
34 |
+
resize_token_embeddings_to_32x: false
|
35 |
+
sample_packing: false
|
36 |
+
save_steps: 40
|
37 |
+
save_total_limit: 1
|
38 |
+
sequence_len: 2048
|
39 |
+
tokenizer_type: Qwen2TokenizerFast
|
40 |
+
train_on_inputs: false
|
41 |
+
trust_remote_code: true
|
42 |
+
val_set_size: 0.1
|
43 |
+
wandb_entity: ''
|
44 |
+
wandb_mode: online
|
45 |
+
wandb_name: unsloth/Qwen2.5-Coder-1.5B-Instruct-/workspace/input_data/4d85b564dafa38db_train_data.json
|
46 |
+
wandb_project: Gradients-On-Demand
|
47 |
+
wandb_run: your_name
|
48 |
+
wandb_runid: default
|
49 |
+
warmup_ratio: 0.05
|
50 |
+
xformers_attention: true
|
8910478d-79cf-499e-8fed-7a2142f7ee60.yml
ADDED
@@ -0,0 +1,51 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
base_model: unsloth/Phi-3-medium-4k-instruct
|
2 |
+
batch_size: 32
|
3 |
+
bf16: true
|
4 |
+
chat_template: tokenizer_default_fallback_alpaca
|
5 |
+
datasets:
|
6 |
+
- data_files:
|
7 |
+
- f6199f34ade98809_train_data.json
|
8 |
+
ds_type: json
|
9 |
+
format: custom
|
10 |
+
path: /workspace/input_data/f6199f34ade98809_train_data.json
|
11 |
+
type:
|
12 |
+
field_input: choices
|
13 |
+
field_instruction: question
|
14 |
+
field_output: answer
|
15 |
+
format: '{instruction} {input}'
|
16 |
+
no_input_format: '{instruction}'
|
17 |
+
system_format: '{system}'
|
18 |
+
system_prompt: ''
|
19 |
+
eval_steps: 20
|
20 |
+
flash_attention: true
|
21 |
+
gpu_memory_limit: 80GiB
|
22 |
+
gradient_checkpointing: true
|
23 |
+
group_by_length: true
|
24 |
+
hub_model_id: willtensora/2d37ba50-cd70-4895-be62-3477f5193e86
|
25 |
+
hub_strategy: checkpoint
|
26 |
+
learning_rate: 0.0002
|
27 |
+
logging_steps: 10
|
28 |
+
lr_scheduler: cosine
|
29 |
+
max_steps: 2500
|
30 |
+
micro_batch_size: 4
|
31 |
+
model_type: AutoModelForCausalLM
|
32 |
+
optimizer: adamw_bnb_8bit
|
33 |
+
output_dir: /workspace/axolotl/configs
|
34 |
+
pad_to_sequence_len: true
|
35 |
+
resize_token_embeddings_to_32x: false
|
36 |
+
sample_packing: false
|
37 |
+
save_steps: 40
|
38 |
+
save_total_limit: 1
|
39 |
+
sequence_len: 2048
|
40 |
+
tokenizer_type: LlamaTokenizerFast
|
41 |
+
train_on_inputs: false
|
42 |
+
trust_remote_code: true
|
43 |
+
val_set_size: 0.1
|
44 |
+
wandb_entity: ''
|
45 |
+
wandb_mode: online
|
46 |
+
wandb_name: unsloth/Phi-3-medium-4k-instruct-/tmp/f6199f34ade98809_train_data.json
|
47 |
+
wandb_project: Gradients-On-Demand
|
48 |
+
wandb_run: your_name
|
49 |
+
wandb_runid: default
|
50 |
+
warmup_ratio: 0.05
|
51 |
+
xformers_attention: true
|
README.md
ADDED
@@ -0,0 +1,126 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
library_name: transformers
|
3 |
+
base_model: katuni4ka/tiny-random-qwen1.5-moe
|
4 |
+
tags:
|
5 |
+
- axolotl
|
6 |
+
- generated_from_trainer
|
7 |
+
model-index:
|
8 |
+
- name: e61e89f0-854a-4922-8d25-dae435e91af0
|
9 |
+
results: []
|
10 |
+
---
|
11 |
+
|
12 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
13 |
+
should probably proofread and complete it, then remove this comment. -->
|
14 |
+
|
15 |
+
[<img src="https://raw.githubusercontent.com/axolotl-ai-cloud/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/axolotl-ai-cloud/axolotl)
|
16 |
+
<details><summary>See axolotl config</summary>
|
17 |
+
|
18 |
+
axolotl version: `0.4.1`
|
19 |
+
```yaml
|
20 |
+
base_model: katuni4ka/tiny-random-qwen1.5-moe
|
21 |
+
batch_size: 32
|
22 |
+
bf16: true
|
23 |
+
chat_template: tokenizer_default_fallback_alpaca
|
24 |
+
datasets:
|
25 |
+
- data_files:
|
26 |
+
- 95544452e61c7393_train_data.json
|
27 |
+
ds_type: json
|
28 |
+
format: custom
|
29 |
+
path: /workspace/input_data/95544452e61c7393_train_data.json
|
30 |
+
type:
|
31 |
+
field_input: input
|
32 |
+
field_instruction: instruction
|
33 |
+
field_output: output
|
34 |
+
format: '{instruction} {input}'
|
35 |
+
no_input_format: '{instruction}'
|
36 |
+
system_format: '{system}'
|
37 |
+
system_prompt: ''
|
38 |
+
eval_steps: 20
|
39 |
+
flash_attention: true
|
40 |
+
gpu_memory_limit: 80GiB
|
41 |
+
gradient_checkpointing: true
|
42 |
+
group_by_length: true
|
43 |
+
hub_model_id: willtensora/e61e89f0-854a-4922-8d25-dae435e91af0
|
44 |
+
hub_strategy: checkpoint
|
45 |
+
learning_rate: 0.0002
|
46 |
+
logging_steps: 10
|
47 |
+
lr_scheduler: cosine
|
48 |
+
max_steps: 2500
|
49 |
+
micro_batch_size: 4
|
50 |
+
model_type: AutoModelForCausalLM
|
51 |
+
optimizer: adamw_bnb_8bit
|
52 |
+
output_dir: /workspace/axolotl/configs
|
53 |
+
pad_to_sequence_len: true
|
54 |
+
resize_token_embeddings_to_32x: false
|
55 |
+
sample_packing: false
|
56 |
+
save_steps: 40
|
57 |
+
save_total_limit: 1
|
58 |
+
sequence_len: 2048
|
59 |
+
tokenizer_type: Qwen2TokenizerFast
|
60 |
+
train_on_inputs: false
|
61 |
+
trust_remote_code: true
|
62 |
+
val_set_size: 0.1
|
63 |
+
wandb_entity: ''
|
64 |
+
wandb_mode: online
|
65 |
+
wandb_name: katuni4ka/tiny-random-qwen1.5-moe-/workspace/input_data/95544452e61c7393_train_data.json
|
66 |
+
wandb_project: Gradients-On-Demand
|
67 |
+
wandb_run: your_name
|
68 |
+
wandb_runid: default
|
69 |
+
warmup_ratio: 0.05
|
70 |
+
xformers_attention: true
|
71 |
+
|
72 |
+
```
|
73 |
+
|
74 |
+
</details><br>
|
75 |
+
|
76 |
+
# e61e89f0-854a-4922-8d25-dae435e91af0
|
77 |
+
|
78 |
+
This model is a fine-tuned version of [katuni4ka/tiny-random-qwen1.5-moe](https://huggingface.co/katuni4ka/tiny-random-qwen1.5-moe) on the None dataset.
|
79 |
+
It achieves the following results on the evaluation set:
|
80 |
+
- Loss: 11.6281
|
81 |
+
|
82 |
+
## Model description
|
83 |
+
|
84 |
+
More information needed
|
85 |
+
|
86 |
+
## Intended uses & limitations
|
87 |
+
|
88 |
+
More information needed
|
89 |
+
|
90 |
+
## Training and evaluation data
|
91 |
+
|
92 |
+
More information needed
|
93 |
+
|
94 |
+
## Training procedure
|
95 |
+
|
96 |
+
### Training hyperparameters
|
97 |
+
|
98 |
+
The following hyperparameters were used during training:
|
99 |
+
- learning_rate: 0.0002
|
100 |
+
- train_batch_size: 4
|
101 |
+
- eval_batch_size: 4
|
102 |
+
- seed: 42
|
103 |
+
- distributed_type: multi-GPU
|
104 |
+
- num_devices: 8
|
105 |
+
- total_train_batch_size: 32
|
106 |
+
- total_eval_batch_size: 32
|
107 |
+
- optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
|
108 |
+
- lr_scheduler_type: cosine
|
109 |
+
- lr_scheduler_warmup_steps: 2
|
110 |
+
- training_steps: 40
|
111 |
+
|
112 |
+
### Training results
|
113 |
+
|
114 |
+
| Training Loss | Epoch | Step | Validation Loss |
|
115 |
+
|:-------------:|:------:|:----:|:---------------:|
|
116 |
+
| No log | 0.0031 | 1 | 11.9223 |
|
117 |
+
| 11.7325 | 0.0629 | 20 | 11.6783 |
|
118 |
+
| 11.6304 | 0.1258 | 40 | 11.6281 |
|
119 |
+
|
120 |
+
|
121 |
+
### Framework versions
|
122 |
+
|
123 |
+
- Transformers 4.46.0
|
124 |
+
- Pytorch 2.5.0+cu124
|
125 |
+
- Datasets 3.0.1
|
126 |
+
- Tokenizers 0.20.1
|
added_tokens.json
ADDED
@@ -0,0 +1,6 @@
|
|
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|
|
|
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|
|
1 |
+
{
|
2 |
+
"<|PAD_TOKEN|>": 151646,
|
3 |
+
"<|endoftext|>": 151643,
|
4 |
+
"<|im_end|>": 151645,
|
5 |
+
"<|im_start|>": 151644
|
6 |
+
}
|
ba646963-47d5-4d28-bb73-74fd1aef7feb.yml
ADDED
@@ -0,0 +1,50 @@
|
|
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|
|
|
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|
|
|
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|
|
1 |
+
base_model: unsloth/Qwen2-0.5B
|
2 |
+
batch_size: 32
|
3 |
+
bf16: true
|
4 |
+
chat_template: tokenizer_default_fallback_alpaca
|
5 |
+
datasets:
|
6 |
+
- data_files:
|
7 |
+
- 1c60ef1fa1ddd4a9_train_data.json
|
8 |
+
ds_type: json
|
9 |
+
format: custom
|
10 |
+
path: /workspace/input_data/1c60ef1fa1ddd4a9_train_data.json
|
11 |
+
type:
|
12 |
+
field_instruction: en
|
13 |
+
field_output: es
|
14 |
+
format: '{instruction}'
|
15 |
+
no_input_format: '{instruction}'
|
16 |
+
system_format: '{system}'
|
17 |
+
system_prompt: ''
|
18 |
+
eval_steps: 20
|
19 |
+
flash_attention: true
|
20 |
+
gpu_memory_limit: 80GiB
|
21 |
+
gradient_checkpointing: true
|
22 |
+
group_by_length: true
|
23 |
+
hub_model_id: willtensora/054d8bb5-59eb-4c69-9472-ab1b71a92df6
|
24 |
+
hub_strategy: checkpoint
|
25 |
+
learning_rate: 0.0002
|
26 |
+
logging_steps: 10
|
27 |
+
lr_scheduler: cosine
|
28 |
+
max_steps: 2500
|
29 |
+
micro_batch_size: 4
|
30 |
+
model_type: AutoModelForCausalLM
|
31 |
+
optimizer: adamw_bnb_8bit
|
32 |
+
output_dir: /workspace/axolotl/configs
|
33 |
+
pad_to_sequence_len: true
|
34 |
+
resize_token_embeddings_to_32x: false
|
35 |
+
sample_packing: false
|
36 |
+
save_steps: 40
|
37 |
+
save_total_limit: 1
|
38 |
+
sequence_len: 2048
|
39 |
+
tokenizer_type: Qwen2TokenizerFast
|
40 |
+
train_on_inputs: false
|
41 |
+
trust_remote_code: true
|
42 |
+
val_set_size: 0.1
|
43 |
+
wandb_entity: ''
|
44 |
+
wandb_mode: online
|
45 |
+
wandb_name: unsloth/Qwen2-0.5B-/workspace/input_data/1c60ef1fa1ddd4a9_train_data.json
|
46 |
+
wandb_project: Gradients-On-Demand
|
47 |
+
wandb_run: your_name
|
48 |
+
wandb_runid: default
|
49 |
+
warmup_ratio: 0.05
|
50 |
+
xformers_attention: true
|
config.json
ADDED
@@ -0,0 +1,29 @@
|
|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "fxmarty/tiny-random-GemmaForCausalLM",
|
3 |
+
"architectures": [
|
4 |
+
"GemmaForCausalLM"
|
5 |
+
],
|
6 |
+
"attention_bias": false,
|
7 |
+
"attention_dropout": 0.0,
|
8 |
+
"bos_token_id": 2,
|
9 |
+
"eos_token_id": 1,
|
10 |
+
"head_dim": 8,
|
11 |
+
"hidden_act": "gelu",
|
12 |
+
"hidden_activation": "gelu_pytorch_tanh",
|
13 |
+
"hidden_size": 32,
|
14 |
+
"initializer_range": 0.02,
|
15 |
+
"intermediate_size": 2,
|
16 |
+
"max_position_embeddings": 2048,
|
17 |
+
"model_type": "gemma",
|
18 |
+
"num_attention_heads": 2,
|
19 |
+
"num_hidden_layers": 1,
|
20 |
+
"num_key_value_heads": 1,
|
21 |
+
"pad_token_id": 0,
|
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|
23 |
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|
24 |
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|
25 |
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|
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|
27 |
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|
28 |
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|
29 |
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}
|
da9e44b3-e4fb-4905-9c7c-6b03aad6b593.yml
ADDED
@@ -0,0 +1,51 @@
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|
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|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
base_model: unsloth/SmolLM2-360M-Instruct
|
2 |
+
batch_size: 32
|
3 |
+
bf16: true
|
4 |
+
chat_template: tokenizer_default_fallback_alpaca
|
5 |
+
datasets:
|
6 |
+
- data_files:
|
7 |
+
- f1ccd02a885008e6_train_data.json
|
8 |
+
ds_type: json
|
9 |
+
format: custom
|
10 |
+
path: /workspace/input_data/f1ccd02a885008e6_train_data.json
|
11 |
+
type:
|
12 |
+
field_input: target
|
13 |
+
field_instruction: user
|
14 |
+
field_output: assistant
|
15 |
+
format: '{instruction} {input}'
|
16 |
+
no_input_format: '{instruction}'
|
17 |
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system_format: '{system}'
|
18 |
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system_prompt: ''
|
19 |
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eval_steps: 20
|
20 |
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flash_attention: true
|
21 |
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|
22 |
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|
23 |
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|
24 |
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hub_model_id: willtensora/3da0a03a-adbb-42e3-8fd7-bd7c0b1d3e9f
|
25 |
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|
26 |
+
learning_rate: 0.0002
|
27 |
+
logging_steps: 10
|
28 |
+
lr_scheduler: cosine
|
29 |
+
max_steps: 2500
|
30 |
+
micro_batch_size: 4
|
31 |
+
model_type: AutoModelForCausalLM
|
32 |
+
optimizer: adamw_bnb_8bit
|
33 |
+
output_dir: /workspace/axolotl/configs
|
34 |
+
pad_to_sequence_len: true
|
35 |
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resize_token_embeddings_to_32x: false
|
36 |
+
sample_packing: false
|
37 |
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save_steps: 40
|
38 |
+
save_total_limit: 1
|
39 |
+
sequence_len: 2048
|
40 |
+
tokenizer_type: GPT2TokenizerFast
|
41 |
+
train_on_inputs: false
|
42 |
+
trust_remote_code: true
|
43 |
+
val_set_size: 0.1
|
44 |
+
wandb_entity: ''
|
45 |
+
wandb_mode: online
|
46 |
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wandb_name: unsloth/SmolLM2-360M-Instruct-/tmp/f1ccd02a885008e6_train_data.json
|
47 |
+
wandb_project: Gradients-On-Demand
|
48 |
+
wandb_run: your_name
|
49 |
+
wandb_runid: default
|
50 |
+
warmup_ratio: 0.05
|
51 |
+
xformers_attention: true
|
e51d7c64-39d2-4079-b777-8892db299c2a.yml
ADDED
@@ -0,0 +1,51 @@
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|
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|
|
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|
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|
|
|
|
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|
|
|
|
|
|
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|
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|
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|
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|
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|
|
|
|
|
|
|
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|
|
1 |
+
base_model: fxmarty/tiny-random-GemmaForCausalLM
|
2 |
+
batch_size: 32
|
3 |
+
bf16: true
|
4 |
+
chat_template: tokenizer_default_fallback_alpaca
|
5 |
+
datasets:
|
6 |
+
- data_files:
|
7 |
+
- b7c2a4a781c93416_train_data.json
|
8 |
+
ds_type: json
|
9 |
+
format: custom
|
10 |
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path: /workspace/input_data/b7c2a4a781c93416_train_data.json
|
11 |
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type:
|
12 |
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field_input: context
|
13 |
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field_instruction: question
|
14 |
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field_output: answer
|
15 |
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format: '{instruction} {input}'
|
16 |
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|
17 |
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system_format: '{system}'
|
18 |
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|
19 |
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eval_steps: 20
|
20 |
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flash_attention: true
|
21 |
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gpu_memory_limit: 80GiB
|
22 |
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|
23 |
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|
24 |
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hub_model_id: willtensora/fd1980a0-7e71-4e52-addb-318dca5991d5
|
25 |
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|
26 |
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learning_rate: 0.0002
|
27 |
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logging_steps: 10
|
28 |
+
lr_scheduler: cosine
|
29 |
+
max_steps: 2500
|
30 |
+
micro_batch_size: 4
|
31 |
+
model_type: AutoModelForCausalLM
|
32 |
+
optimizer: adamw_bnb_8bit
|
33 |
+
output_dir: /workspace/axolotl/configs
|
34 |
+
pad_to_sequence_len: true
|
35 |
+
resize_token_embeddings_to_32x: false
|
36 |
+
sample_packing: false
|
37 |
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save_steps: 40
|
38 |
+
save_total_limit: 1
|
39 |
+
sequence_len: 2048
|
40 |
+
tokenizer_type: GemmaTokenizerFast
|
41 |
+
train_on_inputs: false
|
42 |
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trust_remote_code: true
|
43 |
+
val_set_size: 0.1
|
44 |
+
wandb_entity: ''
|
45 |
+
wandb_mode: online
|
46 |
+
wandb_name: fxmarty/tiny-random-GemmaForCausalLM-/workspace/input_data/b7c2a4a781c93416_train_data.json
|
47 |
+
wandb_project: Gradients-On-Demand
|
48 |
+
wandb_run: your_name
|
49 |
+
wandb_runid: default
|
50 |
+
warmup_ratio: 0.05
|
51 |
+
xformers_attention: true
|
ee62f35d-1a99-4f1c-a69c-c91bc444b71f.yml
ADDED
@@ -0,0 +1,53 @@
|
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|
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|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
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|
|
|
|
|
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|
|
|
|
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|
|
|
|
|
|
|
|
1 |
+
base_model: EleutherAI/pythia-1b
|
2 |
+
batch_size: 32
|
3 |
+
bf16: true
|
4 |
+
chat_template: tokenizer_default_fallback_alpaca
|
5 |
+
datasets:
|
6 |
+
- data_files:
|
7 |
+
- b2a4966d9a5c880e_train_data.json
|
8 |
+
ds_type: json
|
9 |
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format: custom
|
10 |
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path: /workspace/input_data/b2a4966d9a5c880e_train_data.json
|
11 |
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type:
|
12 |
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field_input: input
|
13 |
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field_instruction: instruction
|
14 |
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field_output: output
|
15 |
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format: '{instruction} {input}'
|
16 |
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no_input_format: '{instruction}'
|
17 |
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system_format: '{system}'
|
18 |
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system_prompt: ''
|
19 |
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eval_steps: 20
|
20 |
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flash_attention: true
|
21 |
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gpu_memory_limit: 80GiB
|
22 |
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|
23 |
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|
24 |
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hub_model_id: willtensora/ee937811-31d0-4e11-944a-f4f8e06309d2
|
25 |
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hub_strategy: checkpoint
|
26 |
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learning_rate: 0.0002
|
27 |
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logging_steps: 10
|
28 |
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lr_scheduler: cosine
|
29 |
+
max_steps: 2500
|
30 |
+
micro_batch_size: 4
|
31 |
+
model_type: AutoModelForCausalLM
|
32 |
+
optimizer: adamw_bnb_8bit
|
33 |
+
output_dir: /workspace/axolotl/configs
|
34 |
+
pad_to_sequence_len: true
|
35 |
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resize_token_embeddings_to_32x: false
|
36 |
+
sample_packing: false
|
37 |
+
save_steps: 40
|
38 |
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save_total_limit: 1
|
39 |
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sequence_len: 2048
|
40 |
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special_tokens:
|
41 |
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pad_token: <|endoftext|>
|
42 |
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tokenizer_type: GPTNeoXTokenizerFast
|
43 |
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train_on_inputs: false
|
44 |
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trust_remote_code: true
|
45 |
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|
46 |
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wandb_entity: ''
|
47 |
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wandb_mode: online
|
48 |
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wandb_name: EleutherAI/pythia-1b-/workspace/input_data/b2a4966d9a5c880e_train_data.json
|
49 |
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wandb_project: Gradients-On-Demand
|
50 |
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wandb_run: your_name
|
51 |
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wandb_runid: default
|
52 |
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warmup_ratio: 0.05
|
53 |
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|
ef61f40b-eca8-4670-964b-fdd3d1d0f066.yml
ADDED
@@ -0,0 +1,51 @@
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|
1 |
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base_model: unsloth/SmolLM-135M
|
2 |
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batch_size: 32
|
3 |
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bf16: true
|
4 |
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chat_template: tokenizer_default_fallback_alpaca
|
5 |
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datasets:
|
6 |
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- data_files:
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7 |
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- 658988857b0a29c9_train_data.json
|
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ds_type: json
|
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13 |
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28 |
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29 |
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|
30 |
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|
31 |
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model_type: AutoModelForCausalLM
|
32 |
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optimizer: adamw_bnb_8bit
|
33 |
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output_dir: /workspace/axolotl/configs
|
34 |
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|
35 |
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|
36 |
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|
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|
38 |
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|
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|
40 |
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|
41 |
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|
42 |
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|
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|
44 |
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45 |
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46 |
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|
48 |
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|
49 |
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|
50 |
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|
51 |
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|
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ADDED
@@ -0,0 +1,7 @@
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|
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|
7 |
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|
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@@ -0,0 +1,30 @@
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|
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|
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|
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|
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@@ -0,0 +1,3 @@
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16 |
+
"normalized": false,
|
17 |
+
"rstrip": false,
|
18 |
+
"single_word": false,
|
19 |
+
"special": true
|
20 |
+
},
|
21 |
+
"2": {
|
22 |
+
"content": "<bos>",
|
23 |
+
"lstrip": false,
|
24 |
+
"normalized": false,
|
25 |
+
"rstrip": false,
|
26 |
+
"single_word": false,
|
27 |
+
"special": true
|
28 |
+
},
|
29 |
+
"3": {
|
30 |
+
"content": "<unk>",
|
31 |
+
"lstrip": false,
|
32 |
+
"normalized": false,
|
33 |
+
"rstrip": false,
|
34 |
+
"single_word": false,
|
35 |
+
"special": true
|
36 |
+
}
|
37 |
+
},
|
38 |
+
"bos_token": "<bos>",
|
39 |
+
"chat_template": "{% for message in messages %}{% if message['role'] == 'user' %}{{ '### Instruction: ' + message['content'] + '\n\n' }}{% elif message['role'] == 'assistant' %}{{ '### Response: ' + message['content'] + eos_token}}{% endif %}{% endfor %}",
|
40 |
+
"clean_up_tokenization_spaces": false,
|
41 |
+
"eos_token": "<eos>",
|
42 |
+
"legacy": null,
|
43 |
+
"model_max_length": 1000000000000000019884624838656,
|
44 |
+
"pad_token": "<pad>",
|
45 |
+
"sp_model_kwargs": {},
|
46 |
+
"spaces_between_special_tokens": false,
|
47 |
+
"tokenizer_class": "GemmaTokenizer",
|
48 |
+
"unk_token": "<unk>",
|
49 |
+
"use_default_system_prompt": false,
|
50 |
+
"use_fast": true
|
51 |
+
}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:031c6655ddce296cb6a3d94bf34f1b61cb6caff63f630e0535dae289ad4b1be8
|
3 |
+
size 6584
|
vocab.json
ADDED
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|
|