End of training

README.md

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+---
+license: mit
+base_model: LIAMF-USP/roberta-large-finetuned-race
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+- precision
+- recall
+model-index:
+- name: bigbird-roberta-large
+  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. -->
+
+# bigbird-roberta-large
+
+This model is a fine-tuned version of [LIAMF-USP/roberta-large-finetuned-race](https://huggingface.co/LIAMF-USP/roberta-large-finetuned-race) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.6094
+- Accuracy: 0.1976
+- F1: 0.1757
+- Precision: 0.1893
+- Recall: 0.1911
+
+## 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: 8
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step  | Validation Loss | Accuracy | F1     | Precision | Recall |
+|:-------------:|:------:|:-----:|:---------------:|:--------:|:------:|:---------:|:------:|
+| 1.6272        | 0.3233 | 1200  | 1.6094          | 0.2082   | 0.1431 | 0.2007    | 0.1996 |
+| 1.6218        | 0.6466 | 2400  | 1.6094          | 0.2117   | 0.1340 | 0.1876    | 0.1998 |
+| 1.6235        | 0.9698 | 3600  | 1.6094          | 0.2104   | 0.1752 | 0.2005    | 0.2015 |
+| 1.617         | 1.2931 | 4800  | 1.6094          | 0.2088   | 0.1956 | 0.2037    | 0.2028 |
+| 1.61          | 1.6164 | 6000  | 1.6094          | 0.2091   | 0.1606 | 0.2127    | 0.2024 |
+| 1.6126        | 1.9397 | 7200  | 1.6094          | 0.2108   | 0.1796 | 0.1965    | 0.2011 |
+| 1.6174        | 2.2629 | 8400  | 1.6094          | 0.2095   | 0.1833 | 0.2036    | 0.2024 |
+| 1.6125        | 2.5862 | 9600  | 1.6094          | 0.2097   | 0.1847 | 0.1963    | 0.2016 |
+| 1.6192        | 2.9095 | 10800 | 1.6094          | 0.1976   | 0.1757 | 0.1893    | 0.1911 |
+
+
+### Framework versions
+
+- Transformers 4.40.2
+- Pytorch 2.3.0+cu121
+- Datasets 2.19.1
+- Tokenizers 0.19.1

config.json

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+{
+  "_name_or_path": "LIAMF-USP/roberta-large-finetuned-race",
+  "architectures": [
+    "RobertaForMultipleChoice"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "bos_token_id": 0,
+  "classifier_dropout": null,
+  "eos_token_id": 2,
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 1024,
+  "initializer_range": 0.02,
+  "intermediate_size": 4096,
+  "layer_norm_eps": 1e-05,
+  "max_position_embeddings": 514,
+  "model_type": "roberta",
+  "num_attention_heads": 16,
+  "num_hidden_layers": 24,
+  "pad_token_id": 1,
+  "position_embedding_type": "absolute",
+  "torch_dtype": "float32",
+  "total_flos": 1502266556732252160,
+  "transformers_version": "4.40.2",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 50265
+}

model.safetensors

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+oid sha256:68d10af8ca6593f784701c6aac8e3c6b847c0d1761a72e05b04bcc71b380b372
+size 1421491284

special_tokens_map.json

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+{
+  "bos_token": {
+    "content": "<s>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "cls_token": {
+    "content": "<s>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
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+  "eos_token": {
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+    "lstrip": false,
+    "normalized": true,
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+    "single_word": false
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+  "mask_token": {
+    "content": "<mask>",
+    "lstrip": true,
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+    "rstrip": false,
+    "single_word": false
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+  "pad_token": {
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+    "single_word": false
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+    "single_word": false
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+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer_config.json

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+{
+  "add_prefix_space": false,
+  "added_tokens_decoder": {
+    "0": {
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+      "lstrip": false,
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+  "bos_token": "<s>",
+  "clean_up_tokenization_spaces": true,
+  "cls_token": "<s>",
+  "eos_token": "</s>",
+  "errors": "replace",
+  "mask_token": "<mask>",
+  "model_max_length": 512,
+  "pad_token": "<pad>",
+  "sep_token": "</s>",
+  "tokenizer_class": "RobertaTokenizer",
+  "trim_offsets": true,
+  "unk_token": "<unk>"
+}

training_args.bin

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