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--- |
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library_name: transformers |
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license: mit |
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base_model: facebook/m2m100_418M |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: m2m-amharic-antonym2 |
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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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# m2m-amharic-antonym2 |
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This model is a fine-tuned version of [facebook/m2m100_418M](https://huggingface.co/facebook/m2m100_418M) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4000 |
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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: 2e-05 |
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- train_batch_size: 32 |
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- eval_batch_size: 32 |
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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: 100 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 5.3254 | 1.0 | 60 | 5.0654 | |
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| 3.2923 | 2.0 | 120 | 3.0617 | |
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| 1.4883 | 3.0 | 180 | 1.3369 | |
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| 0.5846 | 4.0 | 240 | 0.5542 | |
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| 0.4111 | 5.0 | 300 | 0.4232 | |
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| 0.3265 | 6.0 | 360 | 0.4001 | |
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| 0.288 | 7.0 | 420 | 0.3914 | |
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| 0.2587 | 8.0 | 480 | 0.3890 | |
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| 0.2228 | 9.0 | 540 | 0.3940 | |
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| 0.2177 | 10.0 | 600 | 0.4000 | |
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### Framework versions |
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- Transformers 4.44.2 |
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- Pytorch 2.4.1+cu121 |
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- Datasets 3.2.0 |
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- Tokenizers 0.19.1 |
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