Model save
Browse files- README.md +3 -7
- all_results.json +5 -5
- lora_0/adapter_config.json +4 -4
- lora_0/adapter_model.safetensors +1 -1
- train_results.json +5 -5
- trainer_state.json +14 -4448
README.md
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---
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library_name: peft
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tags:
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- alignment-handbook
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- trl
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- sft
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- generated_from_trainer
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- trl
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- sft
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- alignment-handbook
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- generated_from_trainer
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datasets:
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-
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base_model: mistralai/Mistral-7B-v0.1
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model-index:
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- name: zephyr-7b-pl-qlora
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# zephyr-7b-pl-qlora
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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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## Model description
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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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- training_steps:
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- mixed_precision_training: Native AMP
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### Training results
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---
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library_name: peft
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tags:
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- trl
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- sft
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- alignment-handbook
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- generated_from_trainer
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datasets:
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+
- generator
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base_model: mistralai/Mistral-7B-v0.1
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model-index:
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- name: zephyr-7b-pl-qlora
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# zephyr-7b-pl-qlora
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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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## Model description
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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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- training_steps: 100
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- mixed_precision_training: Native AMP
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### Training results
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all_results.json
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lora_0/adapter_config.json
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| 31 |
}
|
| 32 |
],
|
| 33 |
+
"logging_steps": 100,
|
| 34 |
+
"max_steps": 100,
|
| 35 |
"num_input_tokens_seen": 0,
|
| 36 |
"num_train_epochs": 1,
|
| 37 |
"save_steps": 100,
|
| 38 |
+
"total_flos": 7.072526552059085e+16,
|
| 39 |
"train_batch_size": 2,
|
| 40 |
"trial_name": null,
|
| 41 |
"trial_params": null
|