End of training

README.md

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+---
+library_name: peft
+base_model: katuni4ka/tiny-random-olmo-hf
+tags:
+- axolotl
+- generated_from_trainer
+model-index:
+- name: c5852f57-77e0-45e4-b42e-56c21aa00cf2
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+[<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)
+<details><summary>See axolotl config</summary>
+
+axolotl version: `0.4.1`
+```yaml
+adapter: lora
+base_model: katuni4ka/tiny-random-olmo-hf
+bf16: true
+chat_template: llama3
+data_processes: 8
+dataset_prepared_path: null
+datasets:
+- data_files:
+  - 8e05cbeb0554682a_train_data.json
+  ds_type: json
+  format: custom
+  path: /workspace/input_data/8e05cbeb0554682a_train_data.json
+  type:
+    field_input: input
+    field_instruction: instruction
+    field_output: output
+    format: '{instruction} {input}'
+    no_input_format: '{instruction}'
+    system_format: '{system}'
+    system_prompt: ''
+debug: null
+deepspeed: null
+device_map: auto
+do_eval: true
+early_stopping_patience: 1
+eval_batch_size: 4
+eval_max_new_tokens: 128
+eval_steps: 5
+eval_table_size: null
+evals_per_epoch: null
+flash_attention: false
+fp16: false
+gradient_accumulation_steps: 4
+gradient_checkpointing: true
+group_by_length: true
+hub_model_id: vertings6/c5852f57-77e0-45e4-b42e-56c21aa00cf2
+hub_repo: null
+hub_strategy: end
+hub_token: null
+learning_rate: 5.0e-05
+load_in_4bit: false
+load_in_8bit: false
+local_rank: null
+logging_steps: 3
+lora_alpha: 128
+lora_dropout: 0.05
+lora_fan_in_fan_out: null
+lora_model_dir: null
+lora_r: 64
+lora_target_linear: true
+lr_scheduler: cosine
+max_memory:
+  0: 78GiB
+  cpu: 80GiB
+max_steps: 30
+micro_batch_size: 8
+mlflow_experiment_name: /tmp/8e05cbeb0554682a_train_data.json
+model_type: AutoModelForCausalLM
+num_epochs: 1
+optim_args:
+  adam_beta1: 0.9
+  adam_beta2: 0.95
+  adam_epsilon: 1e-5
+optimizer: adamw_torch
+output_dir: miner_id_24
+pad_to_sequence_len: true
+resume_from_checkpoint: null
+s2_attention: null
+sample_packing: false
+save_steps: 10
+sequence_len: 1024
+strict: false
+tf32: true
+tokenizer_type: AutoTokenizer
+train_on_inputs: false
+trust_remote_code: true
+val_set_size: 0.05
+wandb_entity: null
+wandb_mode: online
+wandb_name: 9567d7c2-3104-40bb-9792-1177c126eed0
+wandb_project: cold7
+wandb_run: your_name
+wandb_runid: 9567d7c2-3104-40bb-9792-1177c126eed0
+warmup_steps: 5
+weight_decay: 0.001
+xformers_attention: null
+
+```
+
+</details><br>
+
+# c5852f57-77e0-45e4-b42e-56c21aa00cf2
+
+This model is a fine-tuned version of [katuni4ka/tiny-random-olmo-hf](https://huggingface.co/katuni4ka/tiny-random-olmo-hf) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 10.7628
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 5e-05
+- train_batch_size: 8
+- eval_batch_size: 4
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 32
+- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=adam_beta1=0.9,adam_beta2=0.95,adam_epsilon=1e-5
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 5
+- training_steps: 30
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| No log        | 0.0008 | 1    | 10.8527         |
+| 10.8529       | 0.0042 | 5    | 10.8411         |
+| 10.8307       | 0.0085 | 10   | 10.8116         |
+| 10.7957       | 0.0127 | 15   | 10.7872         |
+| 10.7827       | 0.0169 | 20   | 10.7712         |
+| 10.7666       | 0.0212 | 25   | 10.7641         |
+| 10.763        | 0.0254 | 30   | 10.7628         |
+
+
+### Framework versions
+
+- PEFT 0.13.2
+- Transformers 4.46.0
+- Pytorch 2.5.0+cu124
+- Datasets 3.0.1
+- Tokenizers 0.20.1

adapter_config.json

@@ -0,0 +1,34 @@
+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "katuni4ka/tiny-random-olmo-hf",
+  "bias": "none",
+  "fan_in_fan_out": null,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 128,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 64,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "q_proj",
+    "down_proj",
+    "v_proj",
+    "k_proj",
+    "o_proj",
+    "up_proj",
+    "gate_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_dora": false,
+  "use_rslora": false
+}

adapter_model.bin

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+size 634754

adapter_model.safetensors

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config.json

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+{
+  "_attn_implementation_autoset": true,
+  "_name_or_path": "katuni4ka/tiny-random-olmo-hf",
+  "architectures": [
+    "OlmoForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "clip_qkv": null,
+  "eos_token_id": 0,
+  "hidden_act": "silu",
+  "hidden_size": 64,
+  "initializer_range": 0.02,
+  "intermediate_size": 172,
+  "max_position_embeddings": 2048,
+  "model_type": "olmo",
+  "num_attention_heads": 2,
+  "num_hidden_layers": 2,
+  "num_key_value_heads": 2,
+  "pad_token_id": 1,
+  "pretraining_tp": 1,
+  "rope_scaling": null,
+  "rope_theta": 10000.0,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float32",
+  "transformers_version": "4.46.0",
+  "use_cache": false,
+  "vocab_size": 50304
+}

special_tokens_map.json

@@ -0,0 +1,16 @@
+{
+  "eos_token": {
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "[PAD]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer_config.json

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+{
+  "add_bos_token": false,
+  "add_eos_token": false,
+  "add_prefix_space": false,
+  "added_tokens_decoder": {
+    "0": {
+      "content": "|||IP_ADDRESS|||",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
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+    "1": {
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+      "single_word": false,
+      "special": true
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+  "chat_template": "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% set loop_messages = messages %}{% for message in loop_messages %}{% set content = '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' %}{% if loop.index0 == 0 %}{% set content = bos_token + content %}{% endif %}{{ content }}{% endfor %}{% if add_generation_prompt %}{{ '<|start_header_id|>assistant<|end_header_id|>\n\n' }}{% endif %}",
+  "clean_up_tokenization_spaces": true,
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+  "pad_token": "[PAD]",
+  "tokenizer_class": "GPTNeoXTokenizer",
+  "unk_token": null
+}

training_args.bin

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