End of training
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README.md
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---
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base_model: csebuetnlp/mT5_m2m_crossSum
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tags:
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- generated_from_trainer
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metrics:
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- rouge
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model-index:
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- name: en_bn_summarize_v8
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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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# en_bn_summarize_v8
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This model is a fine-tuned version of [csebuetnlp/mT5_m2m_crossSum](https://huggingface.co/csebuetnlp/mT5_m2m_crossSum) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: nan
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- Rouge1: 2.6956
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- Rouge2: 0.2754
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- Rougel: 2.3694
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- Rougelsum: 2.6129
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- Gen Len: 28.045
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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: 4
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- eval_batch_size: 4
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- seed: 42
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- gradient_accumulation_steps: 2
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- total_train_batch_size: 8
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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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- lr_scheduler_warmup_steps: 5000
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- num_epochs: 1
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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 | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
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| 0.0 | 1.0 | 625 | nan | 2.6956 | 0.2754 | 2.3694 | 2.6129 | 28.045 |
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### Framework versions
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- Transformers 4.38.1
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- Pytorch 2.1.0+cu121
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- Datasets 2.18.0
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- Tokenizers 0.15.2
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generation_config.json
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{
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"decoder_start_token_id": 250030,
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"eos_token_id": 1,
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"length_penalty": 0.6,
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"max_length": 84,
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"num_beams": 4,
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"pad_token_id": 0,
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"transformers_version": "4.38.1"
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}
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runs/Mar01_22-25-49_8b94c5ff6ba5/events.out.tfevents.1709331977.8b94c5ff6ba5.574.1
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version https://git-lfs.github.com/spec/v1
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size
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version https://git-lfs.github.com/spec/v1
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size 9287
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