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output

Text2Text Generation
Transformers
TensorBoard
Safetensors
t5
Generated from Trainer
Eval Results
text-generation-inference
Inference Endpoints
Model card Files Metrics Community
akash2212 commited on
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End of training

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Files changed (9) hide show
  1. README.md +83 -0
  2. config.json +61 -0
  3. generation_config.json +6 -0
  4. model.safetensors +3 -0
  5. runs/Dec19_12-56-55_0e7cf40517d9/events.out.tfevents.1702990630.0e7cf40517d9.7019.0 +3 -0
  6. special_tokens_map.json +107 -0
  7. tokenizer.json +0 -0
  8. tokenizer_config.json +937 -0
  9. training_args.bin +3 -0
README.md ADDED
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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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+ - billsum
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+ metrics:
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+ - rouge
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+ model-index:
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+ - name: output
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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: billsum
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+ type: billsum
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+ config: default
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+ split: ca_test
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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: 0.1372
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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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+ # output
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+
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+ This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the billsum dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 2.5639
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+ - Rouge1: 0.1372
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+ - Rouge2: 0.0474
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+ - Rougel: 0.1123
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+ - Rougelsum: 0.1125
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+ - Gen Len: 19.0
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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: 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: 4
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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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+ | No log | 1.0 | 62 | 2.8673 | 0.1296 | 0.0367 | 0.1074 | 0.1074 | 19.0 |
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+ | No log | 2.0 | 124 | 2.6480 | 0.1377 | 0.0469 | 0.1135 | 0.1137 | 19.0 |
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+ | No log | 3.0 | 186 | 2.5819 | 0.1368 | 0.0477 | 0.1121 | 0.1123 | 19.0 |
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+ | No log | 4.0 | 248 | 2.5639 | 0.1372 | 0.0474 | 0.1123 | 0.1125 | 19.0 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.35.2
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+ - Pytorch 2.1.0+cu121
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+ - Datasets 2.15.0
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+ - Tokenizers 0.15.0
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+ {
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+ "_name_or_path": "t5-small",
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+ "architectures": [
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+ "T5ForConditionalGeneration"
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+ ],
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+ "num_beams": 4,
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+ "transformers_version": "4.35.2",
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+ "use_cache": true,
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+ "vocab_size": 32128
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+ }
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