vipinkatara
commited on
Model save
Browse files- README.md +75 -0
- all_results.json +9 -0
- generation_config.json +6 -0
- model-00001-of-00003.safetensors +3 -0
- model-00002-of-00003.safetensors +3 -0
- model-00003-of-00003.safetensors +3 -0
- model.safetensors.index.json +298 -0
- runs/May07_10-26-26_e54ca48fff8845e4ad8a0f635d61b311000000/events.out.tfevents.1715077758.e54ca48fff8845e4ad8a0f635d61b311000000.347.0 +2 -2
- train_results.json +9 -0
- trainer_state.json +439 -0
README.md
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---
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license: apache-2.0
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base_model: mistralai/Mistral-7B-v0.1
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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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datasets:
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- generator
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model-index:
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- name: zephyr-7b-sft-full-10ep
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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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# zephyr-7b-sft-full-10ep
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This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the generator dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0485
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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: 2e-05
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- train_batch_size: 16
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- eval_batch_size: 8
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 4
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- total_train_batch_size: 64
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- total_eval_batch_size: 32
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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: 10
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 0.203 | 1.0 | 23 | 0.1086 |
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| 0.0942 | 2.0 | 46 | 0.0702 |
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| 0.064 | 3.0 | 69 | 0.0579 |
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| 0.055 | 4.0 | 92 | 0.0539 |
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| 0.0533 | 5.0 | 115 | 0.0529 |
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| 0.0525 | 6.0 | 138 | 0.0515 |
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| 0.0519 | 7.0 | 161 | 0.0505 |
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| 0.0505 | 8.0 | 184 | 0.0496 |
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| 0.0494 | 9.0 | 207 | 0.0487 |
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| 0.0484 | 10.0 | 230 | 0.0485 |
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### Framework versions
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- Transformers 4.40.2
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- Pytorch 2.3.0+cu121
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- Datasets 2.19.1
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- Tokenizers 0.19.1
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all_results.json
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{
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"epoch": 10.0,
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"total_flos": 48157320806400.0,
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"train_loss": 0.1130801611620447,
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"train_runtime": 3471.4646,
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"train_samples": 62967,
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"train_samples_per_second": 4.137,
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"train_steps_per_second": 0.066
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}
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generation_config.json
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{
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"_from_model_config": true,
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"bos_token_id": 1,
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"eos_token_id": 2,
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"transformers_version": "4.40.2"
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}
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model-00001-of-00003.safetensors
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size 4943162336
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model-00002-of-00003.safetensors
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model-00003-of-00003.safetensors
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model.safetensors.index.json
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