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--- |
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base_model: facebook/mbart-large-50-many-to-many-mmt |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: mbart-large-50-many-to-many-mmt-finetuned-human-to-assistant |
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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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[<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/peterparkercar321-amrita-vishwa-vidyapeetham/huggingface/runs/97jf138x) |
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# mbart-large-50-many-to-many-mmt-finetuned-human-to-assistant |
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This model is a fine-tuned version of [facebook/mbart-large-50-many-to-many-mmt](https://huggingface.co/facebook/mbart-large-50-many-to-many-mmt) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.5397 |
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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: 3e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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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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- num_epochs: 10 |
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- mixed_precision_training: Native AMP |
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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 | 1.0 | 9 | 1.3946 | |
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| No log | 2.0 | 18 | 1.3488 | |
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| No log | 3.0 | 27 | 1.3852 | |
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| No log | 4.0 | 36 | 1.4675 | |
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| No log | 5.0 | 45 | 1.5198 | |
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| No log | 6.0 | 54 | 1.5201 | |
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| No log | 7.0 | 63 | 1.5057 | |
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| No log | 8.0 | 72 | 1.4997 | |
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| No log | 9.0 | 81 | 1.5251 | |
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| No log | 10.0 | 90 | 1.5397 | |
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### Framework versions |
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- Transformers 4.42.3 |
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- Pytorch 2.1.2 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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