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pavlichenko
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flan-t5-base-comma-correction

Text2Text Generation
Transformers
TensorBoard
Safetensors
t5
Generated from Trainer
text-generation-inference
Inference Endpoints
Model card Files Metrics Community
pavlichenko commited on
Commit
fff8277
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1 Parent(s): 2bf5d18

Training in progress, step 500

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Files changed (20) hide show
  1. README.md +68 -0
  2. all_results.json +20 -0
  3. config.json +62 -0
  4. emissions.csv +4 -0
  5. eval_results.json +15 -0
  6. generation_config.json +6 -0
  7. model.safetensors +3 -0
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  15. spiece.model +3 -0
  16. tokenizer.json +0 -0
  17. tokenizer_config.json +938 -0
  18. train_results.json +8 -0
  19. trainer_state.json +3955 -0
  20. training_args.bin +3 -0
README.md CHANGED
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  ---
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  license: apache-2.0
 
 
 
 
 
 
 
 
 
 
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  license: apache-2.0
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+ base_model: google/flan-t5-base
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+ tags:
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+ - generated_from_trainer
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+ metrics:
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+ - precision
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+ - recall
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+ - f1
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+ model-index:
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+ - name: flan-t5-base-comma-correction
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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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+ # flan-t5-base-comma-correction
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+
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+ This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.0492
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+ - Gen Len: 39.5298
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+ - Em Ic: 0.9334
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+ - Em: 0.6384
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+ - Precision: 0.9141
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+ - Recall: 0.8575
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+ - F1: 0.8248
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+ - Levinstein Ratio: 0.9955
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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: 64
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+ - eval_batch_size: 64
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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: cosine
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+ - lr_scheduler_warmup_steps: 200
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+ - num_epochs: 3.0
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Gen Len | Em Ic | Em | Precision | Recall | F1 | Levinstein Ratio |
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+ |:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:------:|:---------:|:------:|:------:|:----------------:|
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+ | 0.042 | 1.0 | 2159 | 0.0500 | 39.4971 | 0.9328 | 0.6256 | 0.9175 | 0.8452 | 0.8165 | 0.9954 |
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+ | 0.0342 | 2.0 | 4318 | 0.0492 | 39.5158 | 0.9334 | 0.6361 | 0.9159 | 0.8546 | 0.8229 | 0.9955 |
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+ | 0.0346 | 3.0 | 6477 | 0.0492 | 39.5298 | 0.9334 | 0.6384 | 0.9141 | 0.8575 | 0.8248 | 0.9955 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.35.0
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+ - Pytorch 2.1.0+cu118
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+ - Datasets 2.14.6
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+ - Tokenizers 0.14.1
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+ "eval_loss": 0.04924384132027626,
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+ "eval_precision": 0.9141,
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+ "eval_samples_per_second": 10.267,
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+ "eval_steps_per_second": 0.162,
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+ "train_loss": 0.04666397547913275,
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+ "train_runtime": 1704.3592,
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+ "train_samples": 138142,
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+ "train_samples_per_second": 243.156,
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+ "train_steps_per_second": 3.8
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+ }
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+ "_name_or_path": "google/flan-t5-base",
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+ "T5ForConditionalGeneration"
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