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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: facebook/bart-base
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+ tags:
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+ - generated_from_trainer
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+ datasets:
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+ - stanfordnlp/snli
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+ metrics:
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+ - accuracy
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+ model-index:
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+ - name: bart-base-lora-885K-snli-model2
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+ results:
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+ - task:
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+ name: Text Classification
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+ type: text-classification
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+ dataset:
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+ name: snli
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+ type: stanfordnlp/snli
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+ metrics:
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+ - name: Accuracy
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+ type: accuracy
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+ value: 0.8266612477138793
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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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+ # bart-base-lora-885K-snli-model2
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+
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+ This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on the snli dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.4485
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+ - Accuracy: 0.8267
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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: 256
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+ - eval_batch_size: 128
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+ - seed: 70
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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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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 0.6411 | 1.0 | 2146 | 0.5055 | 0.7981 |
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+ | 0.5713 | 2.0 | 4292 | 0.4650 | 0.8198 |
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+ | 0.5509 | 3.0 | 6438 | 0.4485 | 0.8267 |
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+
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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 2.1.1+cu121
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+ - Datasets 2.15.0
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+ - Tokenizers 0.15.0
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+ "_name_or_path": "facebook/bart-base",
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+ "activation_dropout": 0.1,
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+ "activation_function": "gelu",
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+ "add_bias_logits": false,
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+ "add_final_layer_norm": false,
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+ "architectures": [
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+ "BartForSequenceClassification"
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+ ],
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+ "attention_dropout": 0.1,
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+ "id2label": {
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+ "LABEL_1": 1,
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+ "max_position_embeddings": 1024,
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+ "model_type": "bart",
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+ "no_repeat_ngram_size": 3,
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+ "normalize_before": false,
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+ "normalize_embedding": true,
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+ "num_beams": 4,
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+ "num_hidden_layers": 6,
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+ "pad_token_id": 1,
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+ "problem_type": "single_label_classification",
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+ "scale_embedding": false,
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+ "task_specific_params": {
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+ "num_beams": 6
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+ }
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+ },
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.35.2",
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+ "use_cache": true,
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+ "vocab_size": 50265
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+ }
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