Commit
•
e5dc689
1
Parent(s):
e9d50d1
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 +310 -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-1_60-samples_config-2_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-1_60-samples_config-2_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: 1.2849
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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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| 1.8081 | 0.6957 | 2 | 1.6745 |
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| 1.7301 | 1.7391 | 5 | 1.4640 |
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| 1.3805 | 2.7826 | 8 | 1.2278 |
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| 1.2006 | 3.8261 | 11 | 0.9719 |
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| 0.8566 | 4.8696 | 14 | 0.8842 |
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| 0.7977 | 5.9130 | 17 | 0.8512 |
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| 0.6809 | 6.9565 | 20 | 0.8307 |
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| 0.6317 | 8.0 | 23 | 0.8437 |
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| 0.5791 | 8.6957 | 25 | 0.8791 |
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| 0.455 | 9.7391 | 28 | 0.9140 |
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| 0.404 | 10.7826 | 31 | 0.9730 |
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| 0.291 | 11.8261 | 34 | 1.0810 |
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| 0.2496 | 12.8696 | 37 | 1.2035 |
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| 0.1865 | 13.9130 | 40 | 1.2849 |
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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 sha256:4a7bb82a28bfe88b1baeb98dadd3b4ed3466853e5aa1e0e603535b060abe2c96
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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": 1.0447421976870912e+16,
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"train_loss": 0.785325912758708,
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"train_runtime": 783.1349,
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"train_samples": 46,
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"train_samples_per_second": 2.937,
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"train_steps_per_second": 0.128
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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": 1.0447421976870912e+16,
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"train_loss": 0.785325912758708,
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"train_runtime": 783.1349,
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"train_samples": 46,
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"train_samples_per_second": 2.937,
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"train_steps_per_second": 0.128
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}
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trainer_state.json
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{
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"best_metric": 0.8306775689125061,
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| 3 |
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