mhr2004/roberta-large-atomic-anion-1e-06-256

README.md

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+---
+library_name: transformers
+license: mit
+base_model: roberta-large
+tags:
+- generated_from_trainer
+model-index:
+- name: roberta-large-atomic-anion-1e-06-256
+  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-large-atomic-anion-1e-06-256
+
+This model is a fine-tuned version of [roberta-large](https://huggingface.co/roberta-large) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3194
+
+## 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: 256
+- eval_batch_size: 256
+- seed: 42
+- optimizer: Use OptimizerNames.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: 30
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss |
+|:-------------:|:-----:|:-----:|:---------------:|
+| 0.4954        | 1.0   | 1152  | 0.4666          |
+| 0.4156        | 2.0   | 2304  | 0.4036          |
+| 0.3791        | 3.0   | 3456  | 0.3861          |
+| 0.3586        | 4.0   | 4608  | 0.3600          |
+| 0.3372        | 5.0   | 5760  | 0.3483          |
+| 0.3232        | 6.0   | 6912  | 0.3380          |
+| 0.3075        | 7.0   | 8064  | 0.3362          |
+| 0.2964        | 8.0   | 9216  | 0.3308          |
+| 0.2811        | 9.0   | 10368 | 0.3284          |
+| 0.2733        | 10.0  | 11520 | 0.3240          |
+| 0.2668        | 11.0  | 12672 | 0.3204          |
+| 0.2608        | 12.0  | 13824 | 0.3210          |
+| 0.2509        | 13.0  | 14976 | 0.3186          |
+| 0.2426        | 14.0  | 16128 | 0.3173          |
+| 0.2358        | 15.0  | 17280 | 0.3191          |
+| 0.2307        | 16.0  | 18432 | 0.3205          |
+| 0.232         | 17.0  | 19584 | 0.3149          |
+| 0.2264        | 18.0  | 20736 | 0.3174          |
+| 0.2199        | 19.0  | 21888 | 0.3199          |
+| 0.2188        | 20.0  | 23040 | 0.3194          |
+
+
+### Framework versions
+
+- Transformers 4.49.0
+- Pytorch 2.6.0+cu124
+- Datasets 3.3.2
+- Tokenizers 0.21.1

config.json

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+{
+  "_name_or_path": "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": "4.49.0",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 50265
+}

model.safetensors

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+size 1421495416

training_args.bin

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+size 5368