emmajin0210/raid_book_roberta_large_1

README.md

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+---
+library_name: transformers
+license: mit
+base_model: FacebookAI/roberta-large
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: fine_tuned_main_raid
+  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. -->
+
+# fine_tuned_main_raid
+
+This model is a fine-tuned version of [FacebookAI/roberta-large](https://huggingface.co/FacebookAI/roberta-large) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0284
+- Accuracy: 0.9931
+
+## 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: 8
+- 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: 3
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
+|:-------------:|:------:|:----:|:---------------:|:--------:|
+| 0.3359        | 0.1018 | 100  | 0.1977          | 0.9703   |
+| 0.17          | 0.2037 | 200  | 0.3161          | 0.9542   |
+| 0.1525        | 0.3055 | 300  | 0.0936          | 0.9828   |
+| 0.0874        | 0.4073 | 400  | 0.0900          | 0.9863   |
+| 0.097         | 0.5092 | 500  | 0.0992          | 0.9863   |
+| 0.0874        | 0.6110 | 600  | 0.1275          | 0.9851   |
+| 0.0763        | 0.7128 | 700  | 0.1173          | 0.9840   |
+| 0.1067        | 0.8147 | 800  | 0.0585          | 0.9874   |
+| 0.0646        | 0.9165 | 900  | 0.0358          | 0.9943   |
+| 0.0338        | 1.0183 | 1000 | 0.0413          | 0.9943   |
+| 0.0463        | 1.1202 | 1100 | 0.0311          | 0.9943   |
+| 0.0683        | 1.2220 | 1200 | 0.0473          | 0.9920   |
+| 0.0315        | 1.3238 | 1300 | 0.0374          | 0.9931   |
+| 0.0251        | 1.4257 | 1400 | 0.0335          | 0.9954   |
+| 0.0238        | 1.5275 | 1500 | 0.0481          | 0.9931   |
+| 0.0105        | 1.6293 | 1600 | 0.0555          | 0.9931   |
+| 0.063         | 1.7312 | 1700 | 0.0343          | 0.9931   |
+| 0.0389        | 1.8330 | 1800 | 0.0355          | 0.9931   |
+| 0.0463        | 1.9348 | 1900 | 0.0584          | 0.9897   |
+| 0.0075        | 2.0367 | 2000 | 0.0284          | 0.9931   |
+| 0.0036        | 2.1385 | 2100 | 0.1225          | 0.9760   |
+| 0.0062        | 2.2403 | 2200 | 0.0333          | 0.9943   |
+| 0.0136        | 2.3422 | 2300 | 0.0379          | 0.9920   |
+
+
+### Framework versions
+
+- Transformers 4.46.2
+- Pytorch 2.5.1+cu121
+- Datasets 3.1.0
+- Tokenizers 0.20.3

config.json

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+{
+  "_name_or_path": "FacebookAI/roberta-large",
+  "architectures": [
+    "RobertaForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "bos_token_id": 0,
+  "classifier_dropout": null,
+  "eos_token_id": 2,
+  "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",
+  "problem_type": "single_label_classification",
+  "torch_dtype": "float32",
+  "transformers_version": "4.46.2",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 50265
+}

model.safetensors

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+size 1421495416

special_tokens_map.json

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

tokenizer_config.json

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+{
+  "add_prefix_space": false,
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<s>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+    "2": {
+      "content": "</s>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+    "3": {
+      "content": "<unk>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+    "50264": {
+      "content": "<mask>",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "bos_token": "<s>",
+  "clean_up_tokenization_spaces": false,
+  "cls_token": "<s>",
+  "eos_token": "</s>",
+  "errors": "replace",
+  "mask_token": "<mask>",
+  "model_max_length": 512,
+  "pad_token": "</s>",
+  "sep_token": "</s>",
+  "tokenizer_class": "RobertaTokenizer",
+  "trim_offsets": true,
+  "unk_token": "<unk>"
+}

training_args.bin

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