Model save
Browse files- README.md +72 -0
- adapter_model.safetensors +2 -2
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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- trl
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- kto
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- generated_from_trainer
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base_model: mistralai/Mixtral-8x7B-Instruct-v0.1
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model-index:
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- name: WeniGPT-Agents-Mixstral-Instruct-2.0.1-KTO
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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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# WeniGPT-Agents-Mixstral-Instruct-2.0.1-KTO
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This model is a fine-tuned version of [mistralai/Mixtral-8x7B-Instruct-v0.1](https://huggingface.co/mistralai/Mixtral-8x7B-Instruct-v0.1) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3851
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- Rewards/chosen: 3.3318
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- Logps/chosen: -205.9953
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- Rewards/rejected: -0.6648
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- Logps/rejected: -236.6620
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- Kl: 11.1980
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- Rewards/margins: 3.8701
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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: 0.0002
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- train_batch_size: 4
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- eval_batch_size: 4
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_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: linear
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- lr_scheduler_warmup_ratio: 0.03
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- training_steps: 145
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Logps/chosen | Rewards/rejected | Logps/rejected | Kl | Rewards/margins |
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|:-------------:|:-----:|:----:|:---------------:|:--------------:|:------------:|:----------------:|:--------------:|:-------:|:---------------:|
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| 0.4141 | 0.34 | 50 | 0.4464 | -5.4382 | -293.6954 | -9.6674 | -326.6882 | 0.0 | 3.9499 |
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| 0.4129 | 0.68 | 100 | 0.3851 | 3.3318 | -205.9953 | -0.6648 | -236.6620 | 11.1980 | 3.8701 |
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### Framework versions
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- PEFT 0.10.0
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- Transformers 4.39.1
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- Pytorch 2.1.0+cu118
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- Datasets 2.18.0
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- Tokenizers 0.15.2
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adapter_model.safetensors
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@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:d40b0a56e36359e0ce433af12397cd1bf8f6748e71f55da9e6b77b404f3657df
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size 1103203256
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