End of training
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README.md
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@@ -19,11 +19,12 @@ should probably proofread and complete it, then remove this comment. -->
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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/emilycs229/huggingface/runs/405rlxb2)
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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/emilycs229/huggingface/runs/405rlxb2)
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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/emilycs229/224n_connections/runs/vz9otsu5)
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# mistral-7b-instruct-connections
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This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.1](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.1) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss |
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| No log | 0.9855 | 17 | 0.
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### Framework versions
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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/emilycs229/huggingface/runs/405rlxb2)
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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/emilycs229/huggingface/runs/405rlxb2)
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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/emilycs229/224n_connections/runs/vz9otsu5)
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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/emilycs229/224n_connections/runs/k7e9e0v3)
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# mistral-7b-instruct-connections
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This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.1](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.1) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6526
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## Model description
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| No log | 0.9855 | 17 | 0.5535 |
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| 0.8187 | 1.9710 | 34 | 0.5099 |
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| 0.4261 | 2.9565 | 51 | 0.5141 |
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| 0.4261 | 4.0 | 69 | 0.5708 |
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| 0.2769 | 4.9275 | 85 | 0.6526 |
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### Framework versions
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