Model save
Browse files- README.md +77 -0
- generation_config.json +6 -0
- model.safetensors +1 -1
README.md
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---
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tags:
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- generated_from_trainer
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datasets:
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- opus_wikipedia
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metrics:
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- rouge
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model-index:
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- name: T5-translation
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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_wikipedia
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type: opus_wikipedia
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config: en-ru
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split: train
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args: en-ru
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metrics:
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- name: Rouge1
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type: rouge
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value: 48.4578
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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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# T5-translation
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This model was trained from scratch on the opus_wikipedia dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.1501
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- Rouge1: 48.4578
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- Rouge2: 29.9378
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- Rougel: 47.9767
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- Rougelsum: 47.9657
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- Gen Len: 16.988
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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: 1
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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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| 1.4262 | 1.0 | 28636 | 1.1501 | 48.4578 | 29.9378 | 47.9767 | 47.9657 | 16.988 |
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### Framework versions
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- Transformers 4.35.2
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- Pytorch 2.1.1+cu121
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- Datasets 2.15.0
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- Tokenizers 0.15.0
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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": "4.35.2"
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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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-
oid sha256:
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size 977270632
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version https://git-lfs.github.com/spec/v1
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oid sha256:a743608fe7af177ea557119cd0c6b607f6036f20f058ba2f5f5a9fec1064dd37
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size 977270632
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