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Browse files- README.md +70 -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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- 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: mistral-codaspy
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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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# mistral-codaspy
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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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It achieves the following results on the evaluation set:
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- Loss: 0.0002
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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: 32
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- eval_batch_size: 8
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 128
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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_steps: 5
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- num_epochs: 2
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 0.7694 | 0.22 | 50 | 0.0199 |
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| 0.0106 | 0.44 | 100 | 0.0061 |
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| 0.0036 | 0.66 | 150 | 0.0018 |
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| 0.0011 | 0.88 | 200 | 0.0006 |
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| 0.0005 | 1.11 | 250 | 0.0004 |
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| 0.0003 | 1.33 | 300 | 0.0003 |
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| 0.0003 | 1.55 | 350 | 0.0002 |
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| 0.0002 | 1.77 | 400 | 0.0002 |
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| 0.0002 | 1.99 | 450 | 0.0002 |
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### Framework versions
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- PEFT 0.7.2.dev0
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- Transformers 4.37.0.dev0
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- Pytorch 2.1.2+cu121
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- Datasets 2.15.0
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- Tokenizers 0.15.0
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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 609389712
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version https://git-lfs.github.com/spec/v1
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oid sha256:f17aa37a1a5a275eda35bc304bd6271b2ec7ffad890160ddbd5ef6ef99767e29
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size 609389712
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