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update model card README.md
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README.md
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---
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license: mit
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tags:
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- generated_from_trainer
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datasets:
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- itihasa
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metrics:
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- bleu
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model-index:
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- name: M2M101
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results:
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- task:
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name: Sequence-to-sequence Language Modeling
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type: text2text-generation
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dataset:
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name: itihasa
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type: itihasa
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config: Itihasa
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split: test
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args: Itihasa
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metrics:
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- name: Bleu
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type: bleu
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value: 0.0
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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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# M2M101
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This model is a fine-tuned version of [facebook/m2m100_418M](https://huggingface.co/facebook/m2m100_418M) on the itihasa dataset.
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It achieves the following results on the evaluation set:
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- Loss: 7.7213
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- Bleu: 0.0
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- Gen Len: 2.0
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- Meteor: 0.0
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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: 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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- num_epochs: 5
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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 | Bleu | Gen Len | Meteor |
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|:-------------:|:-----:|:-----:|:---------------:|:----:|:-------:|:------:|
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| 0.0001 | 1.0 | 4698 | 7.5812 | 0.0 | 2.0 | 0.0 |
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| 0.0 | 2.0 | 9396 | 7.0783 | 0.0 | 2.0 | 0.0 |
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| 0.0 | 3.0 | 14094 | 8.0417 | 0.0 | 2.0 | 0.0 |
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| 0.0 | 4.0 | 18792 | 7.7102 | 0.0 | 2.0 | 0.0 |
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| 0.0 | 5.0 | 23490 | 7.7213 | 0.0 | 2.0 | 0.0 |
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### Framework versions
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- Transformers 4.28.0
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- Pytorch 2.3.1+cu118
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- Datasets 2.12.0
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- Tokenizers 0.13.3
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