Model save
Browse files- README.md +81 -0
- adapter_model.safetensors +1 -1
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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- sft
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- SFT
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- WeniGPT
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- generated_from_trainer
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base_model: mistralai/Mistral-7B-Instruct-v0.2
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datasets:
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- generator
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model-index:
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- name: WeniGPT-Agents-Mistral-1.0.11-SFT
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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-Mistral-1.0.11-SFT
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This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) on the generator dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.1287
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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: 1
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- eval_batch_size: 1
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 4
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- gradient_accumulation_steps: 2
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- total_train_batch_size: 8
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- total_eval_batch_size: 4
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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: 330
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| 1.0466 | 0.5357 | 30 | 1.1547 |
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| 0.8783 | 1.0714 | 60 | 1.1288 |
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| 0.6778 | 1.6071 | 90 | 1.1287 |
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| 0.4609 | 2.1429 | 120 | 1.1453 |
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| 0.3946 | 2.6786 | 150 | 1.1766 |
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| 0.2669 | 3.2143 | 180 | 1.2127 |
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| 0.2871 | 3.75 | 210 | 1.2313 |
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| 0.1831 | 4.2857 | 240 | 1.2560 |
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| 0.2145 | 4.8214 | 270 | 1.2665 |
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| 0.167 | 5.3571 | 300 | 1.2968 |
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| 0.1569 | 5.8929 | 330 | 1.2957 |
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### Framework versions
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- PEFT 0.10.0
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- Transformers 4.40.0
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- Pytorch 2.1.0+cu118
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- Datasets 2.18.0
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- Tokenizers 0.19.1
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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 335604696
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version https://git-lfs.github.com/spec/v1
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oid sha256:d2bee445e149d5e25674f3101fd5125f8560a30f2a60f33c4354dd3c5f16a54c
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size 335604696
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