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README.md
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---
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license: apache-2.0
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base_model: occiglot/occiglot-7b-fr-en
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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model-index:
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- name: llm2vec-occiglot-mntp
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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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# llm2vec-occiglot-mntp
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This model is a fine-tuned version of [occiglot/occiglot-7b-fr-en](https://huggingface.co/occiglot/occiglot-7b-fr-en) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6350
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- Accuracy: 0.8495
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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: 5e-05
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- train_batch_size: 16
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- eval_batch_size: 16
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- seed: 42
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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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- training_steps: 1000
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:------:|:----:|:---------------:|:--------:|
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| No log | 0.0312 | 100 | 1.0654 | 0.7634 |
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| No log | 0.0624 | 200 | 0.8477 | 0.8062 |
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| No log | 0.0936 | 300 | 0.7627 | 0.8233 |
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| No log | 0.1248 | 400 | 0.7124 | 0.8337 |
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| 1.0065 | 0.1560 | 500 | 0.6822 | 0.8395 |
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| 1.0065 | 0.1871 | 600 | 0.6665 | 0.8435 |
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| 1.0065 | 0.2183 | 700 | 0.6565 | 0.8454 |
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| 1.0065 | 0.2495 | 800 | 0.6352 | 0.8490 |
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| 1.0065 | 0.2807 | 900 | 0.6251 | 0.8517 |
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| 0.6298 | 0.3119 | 1000 | 0.6350 | 0.8495 |
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### Framework versions
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- Transformers 4.40.2
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- Pytorch 2.0.1+cu118
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- Datasets 2.19.1
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- Tokenizers 0.19.1
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