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ayeshgk
/
codet5-small-ft-v5

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

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Files changed (12) hide show
  1. README.md +68 -0
  2. added_tokens.json +8 -0
  3. config.json +69 -0
  4. generation_config.json +7 -0
  5. merges.txt +0 -0
  6. model.safetensors +3 -0
  7. runs/Jan22_13-08-50_ad8aa587cf73/events.out.tfevents.1705928942.ad8aa587cf73.427.0 +3 -0
  8. special_tokens_map.json +753 -0
  9. tokenizer.json +0 -0
  10. tokenizer_config.json +1007 -0
  11. training_args.bin +3 -0
  12. vocab.json +0 -0
README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: Salesforce/codet5-small
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+ tags:
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+ - generated_from_trainer
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+ metrics:
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+ - rouge
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+ model-index:
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+ - name: codet5-small-ft-v5
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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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+ # codet5-small-ft-v5
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+
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+ This model is a fine-tuned version of [Salesforce/codet5-small](https://huggingface.co/Salesforce/codet5-small) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 2.2463
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+ - Rouge1: 65.8333
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+ - Rouge2: 56.2963
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+ - Rougel: 65.6481
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+ - Rougelsum: 65.5556
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+ - Gen Len: 12.3333
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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 | 8 | 3.3878 | 36.9391 | 29.7138 | 36.367 | 36.2452 | 16.5278 |
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+ | No log | 2.0 | 16 | 2.6133 | 61.7593 | 52.7981 | 61.8981 | 61.3889 | 12.1111 |
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+ | No log | 3.0 | 24 | 2.3167 | 61.0185 | 51.7328 | 61.0185 | 60.5556 | 11.8611 |
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+ | No log | 4.0 | 32 | 2.2463 | 65.8333 | 56.2963 | 65.6481 | 65.5556 | 12.3333 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.38.0.dev0
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+ - Pytorch 2.1.0+cu121
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+ - Datasets 2.16.1
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+ - Tokenizers 0.15.0
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+ {
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+ "_name_or_path": "Salesforce/codet5-small",
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+ "architectures": [
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+ "T5ForConditionalGeneration"
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+ ],
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+ "bos_token_id": 1,
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+ "classifier_dropout": 0.0,
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+ "translation_en_to_de": {
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+ "num_beams": 4,
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+ "prefix": "translate English to French: "
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+ "num_beams": 4,
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+ "prefix": "translate English to Romanian: "
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+ "vocab_size": 32106
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