Patcas commited on
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End of training

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README.md ADDED
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+ ---
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+ base_model: Patcas/plbart-works
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: my_awesome
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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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+ # my_awesome
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+
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+ This model is a fine-tuned version of [Patcas/plbart-works](https://huggingface.co/Patcas/plbart-works) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - eval_loss: 0.8739
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+ - eval_runtime: 16.7737
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+ - eval_samples_per_second: 3.935
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+ - eval_steps_per_second: 3.935
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+ - epoch: 1.0
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+ - step: 264
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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: 1
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+ - eval_batch_size: 1
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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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+
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+ ### Framework versions
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+
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+ - Transformers 4.35.2
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+ - Pytorch 2.1.0+cu121
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+ - Datasets 2.15.0
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+ - Tokenizers 0.15.0
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+ "activation_function": "gelu",
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+ "PLBartForConditionalGeneration"
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+ ],
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+ "d_model": 768,
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+ "decoder_attention_heads": 12,
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+ "decoder_ffn_dim": 3072,
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+ "decoder_layerdrop": 0.0,
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+ "decoder_layers": 6,
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+ "dropout": 0.1,
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+ "is_encoder_decoder": true,
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+ "max_position_embeddings": 1024,
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+ "model_type": "plbart",
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+ "num_hidden_layers": 6,
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+ "pad_token_id": 1,
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+ "scale_embedding": true,
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.35.2",
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+ }
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