leonzhou286/raid_roberta

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: cohere_generated_abstracts_roberta
+  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. -->
+
+# cohere_generated_abstracts_roberta
+
+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: 0.0000
+- Accuracy: 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: 64
+- eval_batch_size: 64
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
+|:-------------:|:------:|:----:|:---------------:|:--------:|
+| 0.0078        | 0.0838 | 100  | 0.0029          | 0.9996   |
+| 0.0036        | 0.1676 | 200  | 0.0053          | 0.9992   |
+| 0.0064        | 0.2515 | 300  | 0.0012          | 0.9999   |
+| 0.002         | 0.3353 | 400  | 0.0028          | 0.9996   |
+| 0.0019        | 0.4191 | 500  | 0.0009          | 0.9999   |
+| 0.0014        | 0.5029 | 600  | 0.0026          | 0.9998   |
+| 0.0003        | 0.5868 | 700  | 0.0012          | 0.9999   |
+| 0.0017        | 0.6706 | 800  | 0.0000          | 1.0      |
+| 0.0015        | 0.7544 | 900  | 0.0000          | 1.0      |
+| 0.0019        | 0.8382 | 1000 | 0.0007          | 0.9999   |
+| 0.0033        | 0.9220 | 1100 | 0.0048          | 0.9994   |
+| 0.0013        | 1.0059 | 1200 | 0.0001          | 1.0      |
+| 0.0032        | 1.0897 | 1300 | 0.0015          | 0.9998   |
+| 0.0013        | 1.1735 | 1400 | 0.0000          | 1.0      |
+| 0.0           | 1.2573 | 1500 | 0.0000          | 1.0      |
+| 0.0           | 1.3412 | 1600 | 0.0000          | 1.0      |
+| 0.0           | 1.4250 | 1700 | 0.0000          | 1.0      |
+| 0.0003        | 1.5088 | 1800 | 0.0023          | 0.9996   |
+| 0.0005        | 1.5926 | 1900 | 0.0000          | 1.0      |
+| 0.0           | 1.6764 | 2000 | 0.0000          | 1.0      |
+| 0.0           | 1.7603 | 2100 | 0.0000          | 1.0      |
+| 0.0           | 1.8441 | 2200 | 0.0000          | 1.0      |
+| 0.0           | 1.9279 | 2300 | 0.0000          | 1.0      |
+| 0.0           | 2.0117 | 2400 | 0.0000          | 1.0      |
+| 0.0           | 2.0956 | 2500 | 0.0000          | 1.0      |
+| 0.0           | 2.1794 | 2600 | 0.0000          | 1.0      |
+| 0.0           | 2.2632 | 2700 | 0.0000          | 1.0      |
+| 0.0           | 2.3470 | 2800 | 0.0000          | 1.0      |
+| 0.0           | 2.4308 | 2900 | 0.0000          | 1.0      |
+| 0.0           | 2.5147 | 3000 | 0.0000          | 1.0      |
+| 0.0           | 2.5985 | 3100 | 0.0000          | 1.0      |
+| 0.0           | 2.6823 | 3200 | 0.0000          | 1.0      |
+| 0.0           | 2.7661 | 3300 | 0.0000          | 1.0      |
+| 0.0           | 2.8500 | 3400 | 0.0000          | 1.0      |
+| 0.0           | 2.9338 | 3500 | 0.0000          | 1.0      |
+
+
+### Framework versions
+
+- Transformers 4.45.2
+- Pytorch 2.5.0+cu124
+- Datasets 3.0.1
+- Tokenizers 0.20.1

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": "4.45.2",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 50265
+}

model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:bb14eda54ff7301917788c8c0c515aa9f4c5012575d243870b625ee5518fc2c4
+size 1421495416

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
+  },
+  "eos_token": {
+    "content": "</s>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "mask_token": {
+    "content": "<mask>",
+    "lstrip": true,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "<pad>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "sep_token": {
+    "content": "</s>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
+    "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": {
+      "content": "<s>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "1": {
+      "content": "<pad>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "2": {
+      "content": "</s>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "3": {
+      "content": "<unk>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "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": "<pad>",
+  "sep_token": "</s>",
+  "tokenizer_class": "RobertaTokenizer",
+  "unk_token": "<unk>"
+}

training_args.bin

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+oid sha256:b03ab90a10b20da74e9c284f768472753d3245d7a09aa731b5c5646f33f896c6
+size 5240