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End of training

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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-v7-iter-f
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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-v7-iter-f
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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: 0.3579
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+ - Rouge1: 65.1905
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+ - Rouge2: 58.0093
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+ - Rougel: 64.6754
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+ - Rougelsum: 64.9444
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+ - Gen Len: 12.7593
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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 | 20 | 1.2614 | 53.6789 | 41.4991 | 53.6127 | 53.6281 | 11.9259 |
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+ | No log | 2.0 | 40 | 0.5435 | 53.3609 | 42.8943 | 50.5216 | 50.638 | 16.1852 |
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+ | No log | 3.0 | 60 | 0.3948 | 57.8859 | 48.6662 | 57.8364 | 57.7638 | 11.4815 |
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+ | No log | 4.0 | 80 | 0.3579 | 65.1905 | 58.0093 | 64.6754 | 64.9444 | 12.7593 |
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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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+ "dense_act_fn": "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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+ "translation_en_to_fr": {
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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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