Model save
Browse files- README.md +8 -8
- config.json +3 -2
- eval_loss_plot.png +0 -0
- eval_ndcg@25_plot.png +0 -0
- train_loss_plot.png +0 -0
- training_args.bin +1 -1
README.md
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This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.3](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.3) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: -
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- Ndcg: 0.
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- Ndcg@25: 0.
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- Precision@25: 0.
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## Model description
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### Training results
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| Training Loss
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### Framework versions
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This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.3](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.3) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: -377379303853489216.0000
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- Ndcg: 0.9566
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- Ndcg@25: 0.5389
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- Precision@25: 0.2423
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## Model description
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Ndcg | Ndcg@25 | Precision@25 |
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|:-------------------------:|:------:|:----:|:------------------------:|:------:|:-------:|:------------:|
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| -6819856770917832704.0000 | 1.0 | 44 | -289695770057323328.0000 | 0.9560 | 0.6207 | 0.2464 |
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| -160735776926492256.0000 | 1.9711 | 86 | -377379303853489216.0000 | 0.9566 | 0.5389 | 0.2423 |
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### Framework versions
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config.json
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{
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"_name_or_path": "mistralai/Mistral-7B-Instruct-v0.3",
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"architectures": [
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"
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],
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"attention_dropout": 0.0,
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"bos_token_id": 1,
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"rope_theta": 1000000.0,
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"sliding_window": null,
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"tie_word_embeddings": false,
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"torch_dtype": "
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"transformers_version": "4.49.0",
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"use_cache": true,
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"vocab_size": 32768
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{
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"_attn_implementation_autoset": true,
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"_name_or_path": "mistralai/Mistral-7B-Instruct-v0.3",
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"architectures": [
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"MistralForCausalLM"
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],
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"attention_dropout": 0.0,
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"bos_token_id": 1,
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"rope_theta": 1000000.0,
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"sliding_window": null,
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.49.0",
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"use_cache": true,
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"vocab_size": 32768
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eval_loss_plot.png
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eval_ndcg@25_plot.png
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train_loss_plot.png
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training_args.bin
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