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chathuranga-jayanath
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codet5-small-v4

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

Browse files
Files changed (11) hide show
  1. README.md +62 -0
  2. config.json +69 -0
  3. generation_config.json +7 -0
  4. merges.txt +0 -0
  5. model.safetensors +3 -0
  6. runs/Jan27_03-24-25_0948abed1c58/events.out.tfevents.1706325866.0948abed1c58.369.0 +3 -0
  7. special_tokens_map.json +753 -0
  8. tokenizer.json +0 -0
  9. tokenizer_config.json +959 -0
  10. training_args.bin +3 -0
  11. 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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+ model-index:
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+ - name: codet5-small-v4
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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-v4
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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: 0.7318
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+ - Bleu Score: 0.2737
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+ - Gen Len: 13.7838
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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: 3
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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 | Bleu Score | Gen Len |
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+ |:-------------:|:-----:|:----:|:---------------:|:----------:|:-------:|
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+ | No log | 1.0 | 20 | 1.7693 | 0.281 | 13.5946 |
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+ | No log | 2.0 | 40 | 1.0720 | 0.2706 | 13.9189 |
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+ | No log | 3.0 | 60 | 0.7318 | 0.2737 | 13.7838 |
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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 0.15.1
config.json ADDED
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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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+ "dense_act_fn": "relu",
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+ "dropout_rate": 0.1,
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+ "feed_forward_proj": "relu",
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+ "gradient_checkpointing": false,
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+ "id2label": {
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+ "0": "LABEL_0"
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+ },
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+ "initializer_factor": 1.0,
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+ "is_encoder_decoder": true,
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+ "is_gated_act": false,
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+ "label2id": {
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+ "LABEL_0": 0
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+ },
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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": 6,
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+ "num_heads": 8,
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+ "num_layers": 6,
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+ "output_past": true,
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+ "pad_token_id": 0,
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+ "relative_attention_max_distance": 128,
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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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+ "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": "4.38.0.dev0",
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+ "use_cache": true,
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+ "vocab_size": 32100
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+ }
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