mhr2004/roberta-large-nsp-1000000-1e-06-32-negcommonsensebalanced-1e-06-64

README.md

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+---
+library_name: transformers
+license: mit
+base_model: mhr2004/roberta-large-nsp-1000000-1e-06-32
+tags:
+- generated_from_trainer
+model-index:
+- name: roberta-large-nsp-1000000-1e-06-32-negcommonsensebalanced-1e-06-64
+  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-nsp-1000000-1e-06-32-negcommonsensebalanced-1e-06-64
+
+This model is a fine-tuned version of [mhr2004/roberta-large-nsp-1000000-1e-06-32](https://huggingface.co/mhr2004/roberta-large-nsp-1000000-1e-06-32) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3364
+
+## 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: 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 |
+|:-------------:|:-----:|:-----:|:---------------:|
+| 0.5348        | 1.0   | 795   | 0.4701          |
+| 0.4543        | 2.0   | 1590  | 0.4139          |
+| 0.4173        | 3.0   | 2385  | 0.3899          |
+| 0.3926        | 4.0   | 3180  | 0.3784          |
+| 0.3702        | 5.0   | 3975  | 0.3663          |
+| 0.3578        | 6.0   | 4770  | 0.3554          |
+| 0.3472        | 7.0   | 5565  | 0.3466          |
+| 0.3334        | 8.0   | 6360  | 0.3467          |
+| 0.3206        | 9.0   | 7155  | 0.3425          |
+| 0.3114        | 10.0  | 7950  | 0.3408          |
+| 0.3033        | 11.0  | 8745  | 0.3340          |
+| 0.2948        | 12.0  | 9540  | 0.3339          |
+| 0.2858        | 13.0  | 10335 | 0.3385          |
+| 0.2829        | 14.0  | 11130 | 0.3333          |
+| 0.2775        | 15.0  | 11925 | 0.3334          |
+| 0.2652        | 16.0  | 12720 | 0.3367          |
+| 0.2645        | 17.0  | 13515 | 0.3364          |
+
+
+### Framework versions
+
+- Transformers 4.48.3
+- Pytorch 2.6.0+cu124
+- Datasets 3.2.0
+- Tokenizers 0.21.0

config.json

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+{
+  "_name_or_path": "mhr2004/roberta-large-nsp-1000000-1e-06-32",
+  "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": "4.48.3",
+  "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