mhr2004/plm-nsp-1000

README.md

@@ -0,0 +1,74 @@
+---
+license: mit
+base_model: roberta-base
+tags:
+- generated_from_trainer
+model-index:
+- name: plm-nsp-1000
+  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. -->
+
+# plm-nsp-1000
+
+This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3707
+
+## 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: 5e-05
+- train_batch_size: 1024
+- eval_batch_size: 1024
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 20
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 0.6954        | 1.0   | 2    | 0.6917          |
+| 0.6912        | 2.0   | 4    | 0.6874          |
+| 0.6877        | 3.0   | 6    | 0.6784          |
+| 0.6744        | 4.0   | 8    | 0.6388          |
+| 0.6384        | 5.0   | 10   | 0.5990          |
+| 0.5988        | 6.0   | 12   | 0.4962          |
+| 0.5429        | 7.0   | 14   | 0.4770          |
+| 0.4862        | 8.0   | 16   | 0.4000          |
+| 0.4598        | 9.0   | 18   | 0.3830          |
+| 0.3835        | 10.0  | 20   | 0.4515          |
+| 0.3459        | 11.0  | 22   | 0.3672          |
+| 0.3335        | 12.0  | 24   | 0.3659          |
+| 0.2611        | 13.0  | 26   | 0.3834          |
+| 0.2407        | 14.0  | 28   | 0.3613          |
+| 0.2018        | 15.0  | 30   | 0.3567          |
+| 0.1758        | 16.0  | 32   | 0.3612          |
+| 0.152         | 17.0  | 34   | 0.3645          |
+| 0.1408        | 18.0  | 36   | 0.3707          |
+
+
+### Framework versions
+
+- Transformers 4.40.1
+- Pytorch 2.3.0+cu121
+- Datasets 2.19.0
+- Tokenizers 0.19.1

config.json

@@ -0,0 +1,28 @@
+{
+  "_name_or_path": "roberta-base",
+  "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": "4.40.1",
+  "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 sha256:5e81473790ee1def1ae504f9e6ce2b5060a4072b335d57d29e77221ec86a08ff
+size 498612824

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8f213024ea6156b629319ac2947677121724b58caa84d9a62cd86377ba07d0a0
+size 4920