mhr2004/roberta-largemhr2004-atomic.anion.train.no1e-06-128

README.md

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+---
+library_name: transformers
+license: mit
+base_model: roberta-large
+tags:
+- generated_from_trainer
+model-index:
+- name: roberta-largemhr2004-atomic.anion.train.no1e-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-largemhr2004-atomic.anion.train.no1e-06-128
+
+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: 0.3645
+
+## 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: 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: 30
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss |
+|:-------------:|:-----:|:-----:|:---------------:|
+| 0.6351        | 1.0   | 576   | 0.4929          |
+| 0.4755        | 2.0   | 1152  | 0.4313          |
+| 0.4406        | 3.0   | 1728  | 0.4136          |
+| 0.4208        | 4.0   | 2304  | 0.4072          |
+| 0.4089        | 5.0   | 2880  | 0.3982          |
+| 0.3989        | 6.0   | 3456  | 0.3869          |
+| 0.3913        | 7.0   | 4032  | 0.3837          |
+| 0.3836        | 8.0   | 4608  | 0.3793          |
+| 0.3766        | 9.0   | 5184  | 0.3793          |
+| 0.3715        | 10.0  | 5760  | 0.3754          |
+| 0.3669        | 11.0  | 6336  | 0.3726          |
+| 0.3653        | 12.0  | 6912  | 0.3681          |
+| 0.3594        | 13.0  | 7488  | 0.3697          |
+| 0.3534        | 14.0  | 8064  | 0.3725          |
+| 0.353         | 15.0  | 8640  | 0.3678          |
+| 0.3509        | 16.0  | 9216  | 0.3651          |
+| 0.3474        | 17.0  | 9792  | 0.3635          |
+| 0.3467        | 18.0  | 10368 | 0.3676          |
+| 0.3428        | 19.0  | 10944 | 0.3631          |
+| 0.3408        | 20.0  | 11520 | 0.3668          |
+| 0.3373        | 21.0  | 12096 | 0.3645          |
+| 0.3397        | 22.0  | 12672 | 0.3645          |
+
+
+### Framework versions
+
+- Transformers 4.51.2
+- Pytorch 2.6.0+cu124
+- Datasets 3.5.0
+- Tokenizers 0.21.1

config.json

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+{
+  "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": "4.51.2",
+  "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