mhr2004/roberta-base-nsp-500000-1e-06-128

README.md

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+---
+license: mit
+base_model: roberta-base
+tags:
+- generated_from_trainer
+model-index:
+- name: roberta-base-nsp-500000-1e-06-128
+  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. -->
+
+# roberta-base-nsp-500000-1e-06-128
+
+This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1111
+
+## 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: 1e-06
+- train_batch_size: 512
+- eval_batch_size: 1024
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 30
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss |
+|:-------------:|:-----:|:-----:|:---------------:|
+| 0.2798        | 1.0   | 977   | 0.2218          |
+| 0.2027        | 2.0   | 1954  | 0.1736          |
+| 0.1759        | 3.0   | 2931  | 0.1549          |
+| 0.1574        | 4.0   | 3908  | 0.1422          |
+| 0.1464        | 5.0   | 4885  | 0.1356          |
+| 0.1383        | 6.0   | 5862  | 0.1288          |
+| 0.1307        | 7.0   | 6839  | 0.1243          |
+| 0.1242        | 8.0   | 7816  | 0.1196          |
+| 0.122         | 9.0   | 8793  | 0.1171          |
+| 0.115         | 10.0  | 9770  | 0.1147          |
+| 0.1113        | 11.0  | 10747 | 0.1136          |
+| 0.1098        | 12.0  | 11724 | 0.1147          |
+| 0.1061        | 13.0  | 12701 | 0.1125          |
+| 0.1031        | 14.0  | 13678 | 0.1133          |
+| 0.102         | 15.0  | 14655 | 0.1119          |
+| 0.1005        | 16.0  | 15632 | 0.1107          |
+| 0.0959        | 17.0  | 16609 | 0.1116          |
+| 0.0972        | 18.0  | 17586 | 0.1109          |
+| 0.0928        | 19.0  | 18563 | 0.1111          |
+
+
+### 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": "roberta-base",
+  "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": 768,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "layer_norm_eps": 1e-05,
+  "max_position_embeddings": 514,
+  "model_type": "roberta",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 1,
+  "position_embedding_type": "absolute",
+  "problem_type": "single_label_classification",
+  "torch_dtype": "float32",
+  "transformers_version": "4.40.2",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 50265
+}

model.safetensors

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+oid sha256:0a149cf4401a38366ea01dd1d3611cb657efc4e8d87f77d3cbdeca67576096e6
+size 498612824

training_args.bin

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+size 4984