End of training
Browse files- README.md +66 -0
- generation_config.json +12 -0
README.md
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---
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license: mit
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base_model: facebook/mbart-large-50
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tags:
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- generated_from_trainer
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model-index:
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- name: wsdbanglat5_2e4_mBART50
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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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# wsdbanglat5_2e4_mBART50
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This model is a fine-tuned version of [facebook/mbart-large-50](https://huggingface.co/facebook/mbart-large-50) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0121
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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: 0.0002
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- train_batch_size: 4
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- eval_batch_size: 4
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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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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:-----:|:---------------:|
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| 0.0984 | 1.0 | 1481 | 0.0783 |
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| 0.0599 | 2.0 | 2962 | 0.0579 |
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| 0.0512 | 3.0 | 4443 | 0.0502 |
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| 0.041 | 4.0 | 5924 | 0.0422 |
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| 0.0372 | 5.0 | 7405 | 0.0408 |
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| 0.0292 | 6.0 | 8886 | 0.0277 |
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| 0.021 | 7.0 | 10367 | 0.0216 |
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| 0.0155 | 8.0 | 11848 | 0.0174 |
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| 0.0109 | 9.0 | 13329 | 0.0144 |
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| 0.0089 | 10.0 | 14810 | 0.0121 |
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### Framework versions
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- Transformers 4.41.2
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- Pytorch 2.3.0+cu121
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- Datasets 2.20.0
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- Tokenizers 0.19.1
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generation_config.json
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{
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"_from_model_config": true,
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"bos_token_id": 0,
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"decoder_start_token_id": 2,
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"early_stopping": true,
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"eos_token_id": 2,
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"forced_eos_token_id": 2,
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"max_length": 200,
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"num_beams": 5,
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"pad_token_id": 1,
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"transformers_version": "4.41.2"
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}
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