Model save
Browse files- README.md +74 -0
- adapter_model.safetensors +1 -1
README.md
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---
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library_name: peft
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license: mit
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base_model: klyang/MentaLLaMA-chat-7B-hf
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tags:
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- llama-factory
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- generated_from_trainer
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model-index:
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- name: MentaLLaMA-chat-7B-PsyCourse-info-fold2
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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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# MentaLLaMA-chat-7B-PsyCourse-info-fold2
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This model is a fine-tuned version of [klyang/MentaLLaMA-chat-7B-hf](https://huggingface.co/klyang/MentaLLaMA-chat-7B-hf) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1332
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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: 0.0001
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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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- gradient_accumulation_steps: 16
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- total_train_batch_size: 16
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 5.0
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| 0.7586 | 0.3951 | 10 | 0.6472 |
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| 0.225 | 0.7901 | 20 | 0.2750 |
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| 0.2279 | 1.1852 | 30 | 0.1986 |
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| 0.1615 | 1.5802 | 40 | 0.1691 |
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| 0.1891 | 1.9753 | 50 | 0.1546 |
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| 0.1057 | 2.3704 | 60 | 0.1461 |
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| 0.146 | 2.7654 | 70 | 0.1418 |
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| 0.0949 | 3.1605 | 80 | 0.1380 |
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| 0.078 | 3.5556 | 90 | 0.1355 |
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| 0.0861 | 3.9506 | 100 | 0.1338 |
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| 0.0849 | 4.3457 | 110 | 0.1334 |
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| 0.0928 | 4.7407 | 120 | 0.1332 |
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### Framework versions
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- PEFT 0.12.0
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- Transformers 4.46.1
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- Pytorch 2.5.1+cu124
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- Datasets 3.1.0
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- Tokenizers 0.20.3
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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:
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size 80013120
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version https://git-lfs.github.com/spec/v1
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oid sha256:e40543bf3b34da81d15d32b2a76d3e4432d12e14b7c556fa862f9445a4839e47
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size 80013120
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