Model save
Browse files- README.md +69 -0
- adapter_model.safetensors +1 -1
README.md
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---
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license: apache-2.0
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base_model: mistralai/Mistral-7B-v0.1
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tags:
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- generated_from_trainer
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model-index:
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- name: Test-tensorboard-metrics-Mistral-7b-Multilanguage-3.0.3
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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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# Test-tensorboard-metrics-Mistral-7b-Multilanguage-3.0.3
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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: 1.0401
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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: 0.0004
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- train_batch_size: 2
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- eval_batch_size: 8
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- seed: 42
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- gradient_accumulation_steps: 2
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- total_train_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: cosine
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 10
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| No log | 0.98 | 22 | 1.6666 |
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| No log | 2.0 | 45 | 1.1254 |
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| No log | 2.98 | 67 | 1.0401 |
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| No log | 4.0 | 90 | 1.0642 |
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| No log | 4.98 | 112 | 1.0576 |
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| No log | 6.0 | 135 | 1.1452 |
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| No log | 6.98 | 157 | 1.1964 |
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| No log | 8.0 | 180 | 1.2469 |
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| No log | 8.98 | 202 | 1.3191 |
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| No log | 9.78 | 220 | 1.3129 |
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### Framework versions
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- Transformers 4.34.0
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- Pytorch 2.0.1+cu117
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- Datasets 2.13.0
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- Tokenizers 0.14.1
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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 13648432
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version https://git-lfs.github.com/spec/v1
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oid sha256:d57b02944180eaa7ced19b592931fc173c4f88f18048d39aac57a6f7a89cec2c
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size 13648432
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