End of training
Browse files
README.md
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---
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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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model-index:
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- name: mistralv1_lora_r16_25e5_e03
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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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# mistralv1_lora_r16_25e5_e03
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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 None dataset.
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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: 2.5e-05
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- train_batch_size: 4
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- eval_batch_size: 8
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- seed: 0
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 3
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### Training results
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### Framework versions
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- PEFT 0.10.0
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- Transformers 4.38.2
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- Pytorch 2.2.1
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- Datasets 2.18.0
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- Tokenizers 0.15.2
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adapter_config.json
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{
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"alpha_pattern": {},
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"auto_mapping": null,
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"base_model_name_or_path": "mistralai/Mistral-7B-v0.1",
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"bias": "none",
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"fan_in_fan_out": false,
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"inference_mode": true,
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"init_lora_weights": true,
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"layer_replication": null,
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"layers_pattern": null,
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"layers_to_transform": null,
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"loftq_config": {},
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"lora_alpha": 32,
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"lora_dropout": 0.05,
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"megatron_config": null,
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"megatron_core": "megatron.core",
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"modules_to_save": null,
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"peft_type": "LORA",
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"r": 16,
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"rank_pattern": {},
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"revision": null,
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"spectral_bottom": false,
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"spectral_top": false,
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"target_modules": [
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"o_proj",
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"k_proj",
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"v_proj",
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"gate_proj",
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"q_proj"
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],
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"task_type": "CAUSAL_LM",
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"use_dora": false,
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"use_rslora": false
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}
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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:74e200a1b11d6e0adad5e6dc1147d0fbc3c4c8bb7c6c2bea7951e1d8a7fd6662
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size 46180496
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runs/May14_13-50-47_mert-lambda-scalar/events.out.tfevents.1715719848.mert-lambda-scalar
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version https://git-lfs.github.com/spec/v1
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oid sha256:3e578f36cdb3a75e871e36c53ef724d676d97b9b4f576f1100768e144182700f
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size 123028
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:eddf33794227bf4dbd4d76641cbbdb53b8f8103526e04bced9ac7f5aea060df3
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size 4920
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