Serega6678
commited on
Commit
•
6b34f6e
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Parent(s):
d1f9a09
Model save
Browse files- README.md +6 -7
- adapter_config.json +5 -1
- adapter_model.safetensors +2 -2
- all_results.json +8 -8
- eval_results.json +4 -4
- mm_projector.bin +1 -1
- train_results.json +4 -4
- trainer_state.json +374 -374
- training_args.bin +1 -1
README.md
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license: apache-2.0
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library_name: peft
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tags:
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- alignment-handbook
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- generated_from_trainer
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base_model: mistralai/Mistral-7B-v0.1
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datasets:
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-
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model-index:
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- name: tmp
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results: []
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# tmp
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This model is a fine-tuned version of [
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It achieves the following results on the evaluation set:
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- Loss: 1.
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate:
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- train_batch_size: 32
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- eval_batch_size: 8
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- seed: 42
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- total_eval_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.
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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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| 1.
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### Framework versions
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license: apache-2.0
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library_name: peft
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tags:
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- generated_from_trainer
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base_model: mistralai/Mistral-7B-v0.1
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datasets:
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+
- generator
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model-index:
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- name: tmp
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results: []
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# tmp
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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: 1.0098
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## Model description
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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: 32
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- eval_batch_size: 8
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- seed: 42
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- total_eval_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: 0.03
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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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| 1.0177 | 1.0 | 907 | 1.0098 |
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### Framework versions
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adapter_config.json
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"rank_pattern": {},
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"target_modules": [
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"down_proj",
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"up_proj",
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-
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"task_type": "CAUSAL_LM"
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}
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"up_proj",
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],
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"task_type": "CAUSAL_LM"
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}
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