Model save
Browse files- README.md +15 -14
- all_results.json +9 -9
- eval_results.json +5 -5
- generation_config.json +1 -1
- model-00001-of-00003.safetensors +1 -1
- model-00002-of-00003.safetensors +1 -1
- model-00003-of-00003.safetensors +1 -1
- runs/Jan08_12-40-07_ip-26-0-175-170/events.out.tfevents.1704718278.ip-26-0-175-170.1661731.0 +2 -2
- runs/Jan08_12-40-07_ip-26-0-175-170/events.out.tfevents.1704723892.ip-26-0-175-170.1661731.1 +3 -0
- train_results.json +5 -5
- trainer_state.json +1136 -180
README.md
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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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- generated_from_trainer
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model-index:
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- name: zephyr-7b-sft-full
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results: []
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datasets:
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- HuggingFaceH4/ultrachat_200k
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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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# zephyr-7b-sft-full
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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
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It achieves the following results on the evaluation set:
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- Loss: 0.
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## Model description
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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:
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- eval_batch_size:
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 8
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-
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-
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- total_eval_batch_size: 128
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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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- num_epochs: 1
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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.
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### Framework versions
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- Transformers 4.
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- Pytorch 2.1.
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- Datasets 2.14.6
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- Tokenizers 0.
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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
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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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# zephyr-7b-sft-full
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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: 0.9553
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## Model description
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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: 8
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- total_train_batch_size: 128
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- total_eval_batch_size: 64
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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: 1
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 0.9511 | 1.0 | 1068 | 0.9553 |
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### Framework versions
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- Transformers 4.36.2
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- Pytorch 2.1.2+cu121
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- Datasets 2.14.6
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- Tokenizers 0.15.0
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all_results.json
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generation_config.json
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| 341 |
{
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| 342 |
"epoch": 0.67,
|
| 343 |
-
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"eval_steps_per_second": 0.537,
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"step": 272
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},
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{
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"epoch": 0.67,
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