Commit
•
7257172
1
Parent(s):
d9d0496
Model save
Browse files- README.md +77 -0
- adapter_model.safetensors +1 -1
- all_results.json +9 -0
- train_results.json +9 -0
- trainer_state.json +421 -0
README.md
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---
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base_model: meta-llama/Meta-Llama-3.1-8B-Instruct
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library_name: peft
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license: llama3.1
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tags:
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- trl
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- sft
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- generated_from_trainer
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model-index:
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- name: Llama-31-8B_task-1_60-samples_config-1_auto
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# Llama-31-8B_task-1_60-samples_config-1_auto
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This model is a fine-tuned version of [meta-llama/Meta-Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B-Instruct) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.6664
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.0001
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- train_batch_size: 1
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- eval_batch_size: 1
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- seed: 42
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- distributed_type: multi-GPU
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- gradient_accumulation_steps: 8
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- total_train_batch_size: 8
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 50
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-------:|:----:|:---------------:|
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| 1.1017 | 0.8696 | 5 | 1.1986 |
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| 1.0551 | 1.9130 | 11 | 1.0321 |
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| 0.9039 | 2.9565 | 17 | 0.9664 |
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| 0.8058 | 4.0 | 23 | 0.9391 |
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| 0.6678 | 4.8696 | 28 | 0.9208 |
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| 0.5587 | 5.9130 | 34 | 0.9191 |
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| 0.3836 | 6.9565 | 40 | 1.0232 |
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| 0.2717 | 8.0 | 46 | 1.2434 |
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| 0.1582 | 8.8696 | 51 | 1.3662 |
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| 0.0812 | 9.9130 | 57 | 1.5726 |
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| 0.0565 | 10.9565 | 63 | 1.7537 |
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| 0.0417 | 12.0 | 69 | 1.6627 |
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| 0.0509 | 12.8696 | 74 | 1.6664 |
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### Framework versions
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- PEFT 0.12.0
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- Transformers 4.44.0
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- Pytorch 2.1.2+cu121
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- Datasets 2.20.0
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- Tokenizers 0.19.1
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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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-
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size 167832240
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version https://git-lfs.github.com/spec/v1
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oid sha256:d45356333d56c147bc1aaccc85542e0e5922ba18b5a9eb21e3bf910076193e09
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size 167832240
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all_results.json
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{
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"epoch": 12.869565217391305,
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"total_flos": 9819365392252928.0,
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"train_loss": 0.4924258470434595,
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"train_runtime": 725.5112,
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"train_samples": 46,
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"train_samples_per_second": 3.17,
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"train_steps_per_second": 0.345
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}
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train_results.json
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{
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"epoch": 12.869565217391305,
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"total_flos": 9819365392252928.0,
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"train_loss": 0.4924258470434595,
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"train_runtime": 725.5112,
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"train_samples": 46,
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"train_samples_per_second": 3.17,
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"train_steps_per_second": 0.345
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}
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trainer_state.json
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{
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"best_metric": 0.9190607070922852,
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| 3 |
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"best_model_checkpoint": "data/Llama-31-8B_task-1_60-samples_config-1_auto/checkpoint-34",
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| 4 |
+
"epoch": 12.869565217391305,
|
| 5 |
+
"eval_steps": 500,
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| 6 |
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"global_step": 74,
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| 7 |
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"is_hyper_param_search": false,
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| 8 |
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"is_local_process_zero": true,
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| 9 |
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"is_world_process_zero": true,
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| 10 |
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"log_history": [
|
| 11 |
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{
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| 12 |
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"epoch": 0.17391304347826086,
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| 13 |
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"grad_norm": 0.8832762241363525,
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| 14 |
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"learning_rate": 4.000000000000001e-06,
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| 15 |
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"loss": 1.0082,
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| 16 |
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"step": 1
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| 17 |
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},
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| 18 |
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{
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| 19 |
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"epoch": 0.34782608695652173,
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| 20 |
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"grad_norm": 0.9423871636390686,
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"learning_rate": 8.000000000000001e-06,
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| 22 |
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"loss": 1.3579,
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"step": 2
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| 24 |
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},
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| 25 |
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{
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| 26 |
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"epoch": 0.6956521739130435,
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| 27 |
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"grad_norm": 0.7188506126403809,
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"learning_rate": 1.6000000000000003e-05,
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| 29 |
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"loss": 1.1017,
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| 30 |
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"step": 4
|
| 31 |
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},
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| 32 |
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{
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| 33 |
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"epoch": 0.8695652173913043,
|
| 34 |
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"eval_loss": 1.1986019611358643,
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| 35 |
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"eval_runtime": 5.0553,
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| 36 |
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"eval_samples_per_second": 2.374,
|
| 37 |
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"eval_steps_per_second": 2.374,
|
| 38 |
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"step": 5
|
| 39 |
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},
|
| 40 |
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{
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| 41 |
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"epoch": 1.0434782608695652,
|
| 42 |
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"grad_norm": 0.8392509818077087,
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| 43 |
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"learning_rate": 2.4e-05,
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| 44 |
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"loss": 1.129,
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"step": 6
|
| 46 |
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},
|
| 47 |
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