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

README.md

@@ -0,0 +1,82 @@
+---
+library_name: transformers
+license: mit
+base_model: mhr2004/roberta-base-nsp-1000000-1e-06-32
+tags:
+- generated_from_trainer
+model-index:
+- name: roberta-base-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-base-nsp-1000000-1e-06-32-negcommonsensebalanced-1e-06-64
+
+This model is a fine-tuned version of [mhr2004/roberta-base-nsp-1000000-1e-06-32](https://huggingface.co/mhr2004/roberta-base-nsp-1000000-1e-06-32) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4028
+
+## 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 |
+|:-------------:|:-----:|:-----:|:---------------:|
+| 0.5812        | 1.0   | 795   | 0.5384          |
+| 0.5273        | 2.0   | 1590  | 0.5009          |
+| 0.5051        | 3.0   | 2385  | 0.4822          |
+| 0.4865        | 4.0   | 3180  | 0.4731          |
+| 0.4723        | 5.0   | 3975  | 0.4582          |
+| 0.4616        | 6.0   | 4770  | 0.4602          |
+| 0.4526        | 7.0   | 5565  | 0.4426          |
+| 0.44          | 8.0   | 6360  | 0.4402          |
+| 0.4329        | 9.0   | 7155  | 0.4316          |
+| 0.4288        | 10.0  | 7950  | 0.4282          |
+| 0.4174        | 11.0  | 8745  | 0.4234          |
+| 0.4134        | 12.0  | 9540  | 0.4205          |
+| 0.4101        | 13.0  | 10335 | 0.4203          |
+| 0.4076        | 14.0  | 11130 | 0.4152          |
+| 0.4028        | 15.0  | 11925 | 0.4094          |
+| 0.3963        | 16.0  | 12720 | 0.4103          |
+| 0.393         | 17.0  | 13515 | 0.4088          |
+| 0.3899        | 18.0  | 14310 | 0.4120          |
+| 0.3897        | 19.0  | 15105 | 0.4050          |
+| 0.3842        | 20.0  | 15900 | 0.4051          |
+| 0.3839        | 21.0  | 16695 | 0.4050          |
+| 0.3791        | 22.0  | 17490 | 0.4015          |
+| 0.3801        | 23.0  | 18285 | 0.4035          |
+| 0.3807        | 24.0  | 19080 | 0.4016          |
+| 0.3738        | 25.0  | 19875 | 0.4028          |
+
+
+### Framework versions
+
+- Transformers 4.48.3
+- Pytorch 2.6.0+cu124
+- Datasets 3.2.0
+- Tokenizers 0.21.0

config.json

@@ -0,0 +1,28 @@
+{
+  "_name_or_path": "mhr2004/roberta-base-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": 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": "4.48.3",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 50265
+}

model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ad8b9f24262411a107b363a4d13162957f7c283f9b347238b7dda019029df320
+size 498612824

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:900ffaa7d3257e5e018a04b5ec52f826db7b89c83f2c6e380575757991debe47
+size 5368