End of training

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: google/bigbird-roberta-base
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+- precision
+- recall
+model-index:
+- name: jackmedda/google-bigbird-roberta-base_finetuned_augmented_augmented_deepseek
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# jackmedda/google-bigbird-roberta-base_finetuned_augmented_augmented_deepseek
+
+This model is a fine-tuned version of [google/bigbird-roberta-base](https://huggingface.co/google/bigbird-roberta-base) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6055
+- Accuracy: 0.7647
+- F1: 0.8667
+- Precision: 0.7647
+- Recall: 1.0
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 2e-05
+- train_batch_size: 4
+- eval_batch_size: 4
+- seed: 42
+- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 50
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Precision | Recall |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
+| 0.3359        | 1.0   | 23   | 0.7432          | 0.7      | 0.8235 | 0.7       | 1.0    |
+| 0.4858        | 2.0   | 46   | 0.9908          | 0.7      | 0.8235 | 0.7       | 1.0    |
+| 0.3094        | 3.0   | 69   | 0.8869          | 0.7      | 0.8235 | 0.7       | 1.0    |
+| 0.3995        | 4.0   | 92   | 0.8863          | 0.7      | 0.8235 | 0.7       | 1.0    |
+| 0.4267        | 5.0   | 115  | 1.0438          | 0.7      | 0.8235 | 0.7       | 1.0    |
+| 0.6401        | 6.0   | 138  | 0.9737          | 0.7      | 0.8235 | 0.7       | 1.0    |
+| 0.4194        | 7.0   | 161  | 1.1069          | 0.7      | 0.8235 | 0.7       | 1.0    |
+| 0.2656        | 8.0   | 184  | 1.1363          | 0.7      | 0.8235 | 0.7       | 1.0    |
+| 0.3611        | 9.0   | 207  | 1.2326          | 0.7      | 0.8235 | 0.7       | 1.0    |
+
+
+### Framework versions
+
+- Transformers 4.48.2
+- Pytorch 2.3.0+cu121
+- Datasets 3.2.0
+- Tokenizers 0.21.0

config.json

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+{
+  "_name_or_path": "google/bigbird-roberta-base",
+  "architectures": [
+    "BigBirdForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "attention_type": "block_sparse",
+  "block_size": 64,
+  "bos_token_id": 1,
+  "classifier_dropout": null,
+  "eos_token_id": 2,
+  "finetuning_task": "text-classification",
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu_new",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "low",
+    "1": "high"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "high": 1,
+    "low": 0
+  },
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 4096,
+  "model_type": "big_bird",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "num_random_blocks": 3,
+  "pad_token_id": 0,
+  "position_embedding_type": "absolute",
+  "problem_type": "single_label_classification",
+  "rescale_embeddings": false,
+  "sep_token_id": 66,
+  "torch_dtype": "float32",
+  "transformers_version": "4.48.2",
+  "type_vocab_size": 2,
+  "use_bias": true,
+  "use_cache": true,
+  "vocab_size": 50358
+}

model.safetensors

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special_tokens_map.json

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tokenizer_config.json

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+  "extra_special_tokens": {},
+  "mask_token": "[MASK]",
+  "model_max_length": 4096,
+  "pad_token": "<pad>",
+  "sep_token": "[SEP]",
+  "sp_model_kwargs": {},
+  "tokenizer_class": "BigBirdTokenizer",
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+}

training_args.bin

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