Commit
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Parent(s):
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End of training
Browse files- README.md +56 -0
- adapter_config.json +28 -0
- adapter_model.safetensors +3 -0
- training_args.bin +3 -0
README.md
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---
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license: llama2
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base_model: bofenghuang/vigogne-2-70b-chat
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tags:
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- generated_from_trainer
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model-index:
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- name: PointCon-vigogne-2-70b-chat-3
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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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# PointCon-vigogne-2-70b-chat-3
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This model is a fine-tuned version of [bofenghuang/vigogne-2-70b-chat](https://huggingface.co/bofenghuang/vigogne-2-70b-chat) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- eval_loss: 1.7526
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- eval_runtime: 116.2987
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- eval_samples_per_second: 0.361
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- eval_steps_per_second: 0.361
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- epoch: 1.2
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- step: 150
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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: 5e-05
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- train_batch_size: 1
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- eval_batch_size: 1
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- seed: 42
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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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- mixed_precision_training: Native AMP
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### Framework versions
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- Transformers 4.35.0
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- Pytorch 2.1.0+cu118
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- Datasets 2.14.6
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- Tokenizers 0.14.1
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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": "bofenghuang/vigogne-2-70b-chat",
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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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"layers_pattern": null,
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"layers_to_transform": null,
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"lora_alpha": 32,
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"lora_dropout": 0.05,
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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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"target_modules": [
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"up_proj",
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"down_proj",
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"gate_proj",
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"v_proj",
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"k_proj",
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"q_proj",
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"o_proj"
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],
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"task_type": "CAUSAL_LM"
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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 sha256:41249ff3ded272aa153b7d9afdbf05504c9bd7860cfee1f2a1e03b899d68b3da
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size 828526568
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:0a730682028c14e085ceca32fb8e46bfce19fde39fe8850c573006c833a11b96
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size 4600
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