nikhilwani
commited on
Commit
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End of training
Browse files- README.md +77 -0
- generation_config.json +6 -0
- pytorch_model.bin +1 -1
README.md
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---
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license: apache-2.0
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base_model: t5-small
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tags:
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- generated_from_trainer
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datasets:
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- opus_books
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metrics:
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- bleu
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model-index:
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- name: machine_translation-en-fr-opus
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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: opus_books
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type: opus_books
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config: en-fr
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split: train
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args: en-fr
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metrics:
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- name: Bleu
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type: bleu
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value: 5.7442
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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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# machine_translation-en-fr-opus
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This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the opus_books dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.6074
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- Bleu: 5.7442
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- Gen Len: 17.6073
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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: 2
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
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|:-------------:|:-----:|:-----:|:---------------:|:------:|:-------:|
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| 1.868 | 1.0 | 6355 | 1.6313 | 5.5594 | 17.6238 |
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| 1.8212 | 2.0 | 12710 | 1.6074 | 5.7442 | 17.6073 |
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### Framework versions
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- Transformers 4.33.1
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- Pytorch 2.0.1+cu118
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- Datasets 2.14.5
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- Tokenizers 0.13.3
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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": "4.33.1"
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}
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 242071641
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version https://git-lfs.github.com/spec/v1
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oid sha256:ecd5d18167a62674f6e7c37c2d9730b1f12a91179713c6f0bb4aff20361a7b16
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size 242071641
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