Commit
•
9adc805
1
Parent(s):
1dd97b9
Model save
Browse files- README.md +76 -0
- adapter_model.safetensors +1 -1
- all_results.json +9 -0
- train_results.json +9 -0
- trainer_state.json +385 -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_120-samples_config-2
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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_120-samples_config-2
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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 the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.7857
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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: 16
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- total_train_batch_size: 16
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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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| 3.4696 | 0.9091 | 5 | 2.7714 |
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| 1.5154 | 2.0 | 11 | 0.9233 |
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| 0.4441 | 2.9091 | 16 | 0.5486 |
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| 0.4453 | 4.0 | 22 | 0.4419 |
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| 0.2943 | 4.9091 | 27 | 0.3947 |
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| 0.209 | 6.0 | 33 | 0.3950 |
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| 0.167 | 6.9091 | 38 | 0.4694 |
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| 0.0931 | 8.0 | 44 | 0.5510 |
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| 0.0271 | 8.9091 | 49 | 0.6278 |
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| 0.0121 | 10.0 | 55 | 0.7051 |
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| 0.0101 | 10.9091 | 60 | 0.7721 |
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| 0.0546 | 12.0 | 66 | 0.7857 |
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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:b1f9c6df514d8e9fc7dcfc127cfeec90ce0ffcafdc408d257d96b12198020499
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size 167832240
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all_results.json
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{
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"epoch": 12.0,
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"total_flos": 1.0256775657396634e+17,
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"train_loss": 0.603098966773938,
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"train_runtime": 3818.1022,
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"train_samples": 88,
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"train_samples_per_second": 1.152,
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"train_steps_per_second": 0.065
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}
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train_results.json
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{
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"epoch": 12.0,
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"total_flos": 1.0256775657396634e+17,
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"train_loss": 0.603098966773938,
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"train_runtime": 3818.1022,
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"train_samples": 88,
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"train_samples_per_second": 1.152,
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"train_steps_per_second": 0.065
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}
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trainer_state.json
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{
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"best_metric": 0.39467453956604004,
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| 3 |
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"best_model_checkpoint": "data/Mistral-7B_task-3_120-samples_config-2/checkpoint-27",
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| 4 |
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"epoch": 12.0,
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| 5 |
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"eval_steps": 500,
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| 6 |
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"is_local_process_zero": true,
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"is_world_process_zero": true,
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| 10 |
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{
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"step": 5
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{
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{
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{
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"epoch": 2.0,
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