dinesHawk86
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End of training
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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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- multi_news
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metrics:
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- rouge
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model-index:
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- name: t5-small-mnews_v2
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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: multi_news
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type: multi_news
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config: default
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split: validation
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args: default
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metrics:
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- name: Rouge1
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type: rouge
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value: 14.995
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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-small-mnews_v2
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This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the multi_news dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.6902
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- Rouge1: 14.995
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- Rouge2: 4.9012
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- Rougel: 11.4372
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- Rougelsum: 13.229
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- Gen Len: 19.0
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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: 4
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- eval_batch_size: 4
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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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- 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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| 2.9143 | 1.0 | 11243 | 2.6902 | 14.995 | 4.9012 | 11.4372 | 13.229 | 19.0 |
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### Framework versions
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- Transformers 4.35.0
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- Pytorch 2.0.0
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- Datasets 2.1.0
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- Tokenizers 0.14.1
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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": "4.35.0"
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}
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model.safetensors
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runs/Dec04_23-18-12_55578b9fb0a4/events.out.tfevents.1701731893.55578b9fb0a4.116.7
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size 9567
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