Model save
Browse files- README.md +65 -0
- all_results.json +13 -0
- eval_results.json +8 -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/Jan04_05-23-59_ip-26-0-160-100/events.out.tfevents.1704346142.ip-26-0-160-100.3382977.0 +2 -2
- runs/Jan04_05-23-59_ip-26-0-160-100/events.out.tfevents.1704351859.ip-26-0-160-100.3382977.1 +3 -0
- runs/Jan04_07-04-47_ip-26-0-160-100/events.out.tfevents.1704351950.ip-26-0-160-100.3392767.0 +3 -0
- runs/Jan04_07-04-47_ip-26-0-160-100/events.out.tfevents.1704352657.ip-26-0-160-100.3392767.1 +3 -0
- runs/Jan04_10-30-54_ip-26-0-173-202/events.out.tfevents.1704364329.ip-26-0-173-202.762419.0 +3 -0
- runs/Jan04_10-30-54_ip-26-0-173-202/events.out.tfevents.1704365035.ip-26-0-173-202.762419.1 +3 -0
- train_results.json +8 -0
- trainer_state.json +1352 -0
- training_args.bin +2 -2
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
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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
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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: 0.9361
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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: 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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- 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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| 0.8975 | 1.0 | 1090 | 0.9361 |
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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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{
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"epoch": 1.0,
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"eval_loss": 0.9360857009887695,
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"eval_runtime": 142.4328,
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"eval_samples": 23110,
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"eval_samples_per_second": 108.339,
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"eval_steps_per_second": 1.699,
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"train_loss": 0.07633444366105106,
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"train_runtime": 563.397,
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"train_samples": 207865,
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"train_samples_per_second": 247.474,
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"train_steps_per_second": 1.935
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}
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eval_results.json
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{
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"epoch": 1.0,
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"eval_loss": 0.9360857009887695,
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"eval_samples": 23110,
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"eval_samples_per_second": 108.339,
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"eval_steps_per_second": 1.699
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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": "4.36.2"
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}
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model-00001-of-00003.safetensors
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model.safetensors.index.json
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