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chaojiang06
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arXivEdits-intention-classifier-T5-large-fine-grained

Text2Text Generation
Transformers
PyTorch
t5
Generated from Trainer
text-generation-inference
Inference Endpoints
Model card Files Community
2
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  1. README.md +46 -0
  2. added_tokens.json +1 -0
  3. all_results.json +20 -0
  4. config.json +57 -0
  5. eval_results.json +8 -0
  6. generated_predictions.txt +430 -0
  7. predict_results.json +8 -0
  8. pytorch_model.bin +3 -0
  9. special_tokens_map.json +1 -0
  10. spiece.model +3 -0
  11. tokenizer.json +0 -0
  12. tokenizer_config.json +1 -0
  13. train_results.json +8 -0
  14. trainer_state.json +127 -0
  15. training_args.bin +3 -0
README.md ADDED
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+ ---
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: tst-translation355
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+ results: []
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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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+ # tst-translation355
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+
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+ This model is a fine-tuned version of [tmp/tst-translation355](https://huggingface.co/tmp/tst-translation355) on an unknown dataset.
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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: 5e-05
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+ - train_batch_size: 12
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+ - eval_batch_size: 12
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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: 10.0
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+
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+ ### Framework versions
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+
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+ - Transformers 4.17.0
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+ - Pytorch 1.11.0+cu113
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+ - Datasets 1.17.0
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+ - Tokenizers 0.11.6
added_tokens.json ADDED
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+ {"[MATH]": 32100, "[CITATION]": 32103, "[EQUATION]": 32101, "[REF]": 32102}
all_results.json ADDED
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+ {
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+ "epoch": 10.0,
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+ "eval_accuracy": 0.7930232558139535,
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+ "eval_loss": 0.13093818724155426,
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+ "eval_runtime": 29.0938,
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+ "eval_samples": 430,
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+ "eval_samples_per_second": 14.78,
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+ "eval_steps_per_second": 1.237,
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+ "predict_accuracy": 0.3494363929146538,
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+ "predict_loss": 0.5730153322219849,
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+ "predict_runtime": 37.0085,
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+ "predict_samples": 621,
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+ "predict_samples_per_second": 16.78,
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+ "predict_steps_per_second": 1.405,
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+ "train_loss": 0.2194767295746576,
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+ "train_runtime": 810.0029,
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+ "train_samples": 1254,
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+ "train_samples_per_second": 15.481,
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+ "train_steps_per_second": 1.296
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+ }}
config.json ADDED
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+ {
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+ "_name_or_path": "t5-large",
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+ "architectures": [
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+ "T5ForConditionalGeneration"
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+ ],
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+ "d_ff": 4096,
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+ "d_kv": 64,
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+ "d_model": 1024,
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+ "decoder_start_token_id": 0,
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+ "dropout_rate": 0.1,
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+ "eos_token_id": 1,
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+ "feed_forward_proj": "relu",
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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": "t5",
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+ "n_positions": 512,
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+ "num_decoder_layers": 24,
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+ "num_heads": 16,
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+ "num_layers": 24,
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+ "output_past": true,
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+ "pad_token_id": 0,
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+ "relative_attention_num_buckets": 32,
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+ "task_specific_params": {
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+ "summarization": {
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+ "early_stopping": true,
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+ "length_penalty": 2.0,
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+ "max_length": 200,
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+ "min_length": 30,
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+ "no_repeat_ngram_size": 3,
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+ "num_beams": 4,
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+ "prefix": "summarize: "
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+ },
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+ "translation_en_to_de": {
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+ "early_stopping": true,
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+ "max_length": 300,
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+ "num_beams": 4,
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+ "prefix": "translate English to German: "
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+ },
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+ "translation_en_to_fr": {
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+ "early_stopping": true,
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+ "max_length": 300,
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+ "num_beams": 4,
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+ "prefix": "translate English to French: "
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+ },
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+ "translation_en_to_ro": {
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+ "early_stopping": true,
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+ "max_length": 300,
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+ "num_beams": 4,
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+ "prefix": "translate English to Romanian: "
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+ }
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+ },
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.17.0",
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+ "use_cache": true,
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+ "vocab_size": 32104
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+ }
eval_results.json ADDED
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+ {
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+ "eval_accuracy": 0.7930232558139535,
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+ "eval_loss": 0.13093818724155426,
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+ "eval_runtime": 26.7221,
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+ "eval_samples": 430,
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+ "eval_samples_per_second": 16.092,
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+ "eval_steps_per_second": 1.347
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+ }
generated_predictions.txt ADDED
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