End of training
Browse files- README.md +66 -0
- generation_config.json +6 -0
- model.safetensors +1 -1
README.md
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---
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base_model: csebuetnlp/banglat5
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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: banglat5-headline-trial-with-ES-batch16-2e-4-ep10
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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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# banglat5-headline-trial-with-ES-batch16-2e-4-ep10
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This model is a fine-tuned version of [csebuetnlp/banglat5](https://huggingface.co/csebuetnlp/banglat5) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.8411
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- Rouge1: 0.0
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- Rouge2: 0.0
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- Rougel: 0.0
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- Rougelsum: 0.0
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- Gen Len: 8.995
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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: 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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### 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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| 3.9163 | 1.0 | 202 | 3.1831 | 0.0 | 0.0 | 0.0 | 0.0 | 9.6873 |
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| 3.0764 | 2.0 | 404 | 2.9729 | 0.0 | 0.0 | 0.0 | 0.0 | 8.273 |
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| 2.763 | 3.0 | 606 | 2.8976 | 0.0 | 0.0 | 0.0 | 0.0 | 9.1266 |
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| 2.3236 | 4.0 | 808 | 2.8411 | 0.0 | 0.0 | 0.0 | 0.0 | 8.995 |
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### Framework versions
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- Transformers 4.39.3
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- Pytorch 2.1.2
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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": 0,
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"eos_token_id": 1,
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"pad_token_id": 0,
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"transformers_version": "4.39.3"
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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version https://git-lfs.github.com/spec/v1
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