mhr2004/roberta-base-pp-1000000-1e-06-128-negcommonsensebalanced-1e-06-256

README.md

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+---
+library_name: transformers
+license: mit
+base_model: mhr2004/roberta-base-pp-1000000-1e-06-128
+tags:
+- generated_from_trainer
+model-index:
+- name: roberta-base-pp-1000000-1e-06-128-negcommonsensebalanced-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-base-pp-1000000-1e-06-128-negcommonsensebalanced-1e-06-256
+
+This model is a fine-tuned version of [mhr2004/roberta-base-pp-1000000-1e-06-128](https://huggingface.co/mhr2004/roberta-base-pp-1000000-1e-06-128) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4009
+
+## 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 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 |
+|:-------------:|:-----:|:-----:|:---------------:|
+| 0.5718        | 1.0   | 795   | 0.5297          |
+| 0.5233        | 2.0   | 1590  | 0.4949          |
+| 0.4986        | 3.0   | 2385  | 0.4810          |
+| 0.4843        | 4.0   | 3180  | 0.4702          |
+| 0.4699        | 5.0   | 3975  | 0.4565          |
+| 0.4601        | 6.0   | 4770  | 0.4506          |
+| 0.454         | 7.0   | 5565  | 0.4388          |
+| 0.4446        | 8.0   | 6360  | 0.4368          |
+| 0.4353        | 9.0   | 7155  | 0.4323          |
+| 0.4274        | 10.0  | 7950  | 0.4255          |
+| 0.4219        | 11.0  | 8745  | 0.4221          |
+| 0.4178        | 12.0  | 9540  | 0.4173          |
+| 0.4128        | 13.0  | 10335 | 0.4210          |
+| 0.4099        | 14.0  | 11130 | 0.4135          |
+| 0.4071        | 15.0  | 11925 | 0.4088          |
+| 0.3983        | 16.0  | 12720 | 0.4081          |
+| 0.3979        | 17.0  | 13515 | 0.4089          |
+| 0.3961        | 18.0  | 14310 | 0.4083          |
+| 0.3946        | 19.0  | 15105 | 0.4054          |
+| 0.3899        | 20.0  | 15900 | 0.4030          |
+| 0.3907        | 21.0  | 16695 | 0.4034          |
+| 0.3831        | 22.0  | 17490 | 0.4006          |
+| 0.3846        | 23.0  | 18285 | 0.4018          |
+| 0.385         | 24.0  | 19080 | 0.4023          |
+| 0.3796        | 25.0  | 19875 | 0.4009          |
+
+
+### Framework versions
+
+- Transformers 4.49.0
+- Pytorch 2.6.0+cu124
+- Datasets 3.3.2
+- Tokenizers 0.21.0

config.json

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+{
+  "_name_or_path": "mhr2004/roberta-base-pp-1000000-1e-06-128",
+  "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": "4.49.0",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 50265
+}

model.safetensors

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+size 498612824

training_args.bin

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