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End of training

Browse files
README.md ADDED
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+ ---
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+ license: bsd-3-clause
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+ base_model: Salesforce/codet5p-220m-py
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: codet5-fine-tuned
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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-fine-tuned
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+
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+ This model is a fine-tuned version of [Salesforce/codet5p-220m-py](https://huggingface.co/Salesforce/codet5p-220m-py) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.1696
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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: 3
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+ - eval_batch_size: 3
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+ - seed: 42
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+ - gradient_accumulation_steps: 4
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+ - total_train_batch_size: 12
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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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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:----:|:---------------:|
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+ | No log | 0.99 | 56 | 0.1769 |
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+ | 0.1833 | 1.99 | 113 | 0.1680 |
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+ | 0.1833 | 3.0 | 170 | 0.1670 |
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+ | 0.1208 | 3.95 | 224 | 0.1696 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.39.3
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+ - Pytorch 2.1.2
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+ - Datasets 2.18.0
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+ - Tokenizers 0.15.2
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+ {
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+ "_name_or_path": "Salesforce/codet5p-220m-py",
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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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+ "d_ff": 3072,
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+ "d_kv": 64,
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+ "d_model": 768,
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+ "decoder_start_token_id": 0,
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+ "dense_act_fn": "relu",
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+ "dropout_rate": 0.1,
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+ "eos_token_id": 2,
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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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+ "is_gated_act": false,
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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": 12,
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+ "num_heads": 12,
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+ "num_layers": 12,
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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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+ "torch_dtype": "float32",
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+ "transformers_version": "4.39.3",
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+ "use_cache": true,
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+ "vocab_size": 32100
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+ }
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+ {
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+ "_from_model_config": true,
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