Commit
•
ed09df0
1
Parent(s):
d6d3a7d
Model save
Browse files- README.md +78 -0
- adapter_model.safetensors +1 -1
- all_results.json +9 -0
- train_results.json +9 -0
- trainer_state.json +450 -0
README.md
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---
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base_model: mistralai/Mistral-7B-Instruct-v0.3
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library_name: peft
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license: apache-2.0
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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: Mistral-7B_task-3_60-samples_config-1_full_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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# Mistral-7B_task-3_60-samples_config-1_full_auto
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This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.3](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.3) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.2003
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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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| 1.2067 | 0.8696 | 5 | 1.1800 |
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| 1.1313 | 1.9130 | 11 | 1.0719 |
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| 1.0437 | 2.9565 | 17 | 0.9889 |
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| 0.8887 | 4.0 | 23 | 0.8997 |
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| 0.8094 | 4.8696 | 28 | 0.8760 |
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| 0.7792 | 5.9130 | 34 | 0.8672 |
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| 0.7139 | 6.9565 | 40 | 0.8654 |
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| 0.666 | 8.0 | 46 | 0.8719 |
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| 0.6045 | 8.8696 | 51 | 0.8943 |
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| 0.5506 | 9.9130 | 57 | 0.9271 |
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| 0.4489 | 10.9565 | 63 | 0.9576 |
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| 0.3597 | 12.0 | 69 | 1.0070 |
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| 0.3326 | 12.8696 | 74 | 1.0801 |
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| 0.2557 | 13.9130 | 80 | 1.2003 |
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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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-
oid sha256:
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size 167832240
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version https://git-lfs.github.com/spec/v1
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+
oid sha256:2aa7f1ca499b91b1df21137b5dc95c829454c65b1f77f67ebe7c6cd6b4193da4
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size 167832240
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all_results.json
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{
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"epoch": 13.91304347826087,
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"total_flos": 6.407243199571558e+16,
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"train_loss": 0.7138225329108536,
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"train_runtime": 2386.9247,
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"train_samples": 46,
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"train_samples_per_second": 0.964,
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"train_steps_per_second": 0.105
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}
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train_results.json
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{
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"epoch": 13.91304347826087,
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"total_flos": 6.407243199571558e+16,
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"train_loss": 0.7138225329108536,
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"train_runtime": 2386.9247,
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"train_samples": 46,
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"train_samples_per_second": 0.964,
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"train_steps_per_second": 0.105
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}
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trainer_state.json
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{
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"best_metric": 0.8653757572174072,
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| 3 |
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"best_model_checkpoint": "data/Mistral-7B_task-3_60-samples_config-1_full_auto/checkpoint-40",
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| 4 |
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"epoch": 13.91304347826087,
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| 5 |
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"eval_steps": 500,
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| 6 |
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"global_step": 80,
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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": [
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| 11 |
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{
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| 12 |
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"epoch": 0.17391304347826086,
|
| 13 |
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"grad_norm": 0.9382457733154297,
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| 14 |
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"learning_rate": 4.000000000000001e-06,
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| 15 |
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"loss": 1.2528,
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| 16 |
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"step": 1
|
| 17 |
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},
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| 18 |
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{
|
| 19 |
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"epoch": 0.34782608695652173,
|
| 20 |
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"grad_norm": 1.0488719940185547,
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| 21 |
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"learning_rate": 8.000000000000001e-06,
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| 22 |
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"loss": 1.2409,
|
| 23 |
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"step": 2
|
| 24 |
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},
|
| 25 |
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{
|
| 26 |
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"epoch": 0.6956521739130435,
|
| 27 |
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"grad_norm": 0.9187086820602417,
|
| 28 |
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"learning_rate": 1.6000000000000003e-05,
|
| 29 |
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"loss": 1.2067,
|
| 30 |
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"step": 4
|
| 31 |
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},
|
| 32 |
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{
|
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