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mt5-small-finetuned-mlsum

Text2Text Generation Transformers PyTorch TensorBoard
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add model

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  1. .gitignore +1 -0
  2. README.md +77 -0
  3. config.json +28 -0
  4. pytorch_model.bin +3 -0
  5. runs/Sep25_08-46-57_4fcb35322c42/1632559692.9582436/events.out.tfevents.1632559692.4fcb35322c42.149.1 +3 -0
  6. runs/Sep25_08-46-57_4fcb35322c42/events.out.tfevents.1632559692.4fcb35322c42.149.0 +3 -0
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.gitignore ADDED
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+ checkpoint-*/
README.md ADDED
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+ ---
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+ license: apache-2.0
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+ tags:
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+ - generated_from_trainer
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+ datasets:
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+ - mlsum
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+ metrics:
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+ - rouge
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+ model-index:
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+ - name: mt5-small-finetuned-mlsum
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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: mlsum
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+ type: mlsum
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+ args: es
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+ metrics:
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+ - name: Rouge1
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+ type: rouge
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+ value: 1.1475
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+ ---
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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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+
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+ # mt5-small-finetuned-mlsum
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+
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+ This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on the mlsum 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: 1.1475
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+ - Rouge2: 0.1284
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+ - Rougel: 1.0634
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+ - Rougelsum: 1.0778
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+ - Gen Len: 3.7939
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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: 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: 1
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+ - mixed_precision_training: Native AMP
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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+ |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
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+ | nan | 1.0 | 808 | nan | 1.1475 | 0.1284 | 1.0634 | 1.0778 | 3.7939 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.10.3
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+ - Pytorch 1.9.0+cu102
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+ - Datasets 1.12.1
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+ - Tokenizers 0.10.3
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+ {
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+ "architectures": [
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+ "MT5ForConditionalGeneration"
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+ ],
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+ "feed_forward_proj": "gated-gelu",
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+ "initializer_factor": 1.0,
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+ "is_encoder_decoder": true,
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+ "layer_norm_epsilon": 1e-06,
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+ "model_type": "mt5",
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+ "num_decoder_layers": 8,
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+ "num_heads": 6,
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+ "num_layers": 8,
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+ "pad_token_id": 0,
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+ "relative_attention_num_buckets": 32,
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+ "tie_word_embeddings": false,
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+ "tokenizer_class": "T5Tokenizer",
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.10.3",
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+ "use_cache": true,
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+ "vocab_size": 250112
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+ }
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