mhr2004/base-nsp-10000

README.md

@@ -0,0 +1,66 @@
+---
+license: mit
+base_model: mhr2004/plm-nsp-10000
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: base-nsp-10000
+  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. -->
+
+# base-nsp-10000
+
+This model is a fine-tuned version of [mhr2004/plm-nsp-10000](https://huggingface.co/mhr2004/plm-nsp-10000) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.8886
+- Accuracy: 0.4717
+
+## 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-05
+- train_batch_size: 32
+- eval_batch_size: 32
+- 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 | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.9837        | 1.0   | 183  | 0.8747          | 0.4703   |
+| 0.9294        | 2.0   | 366  | 0.8611          | 0.4577   |
+| 0.8769        | 3.0   | 549  | 0.8751          | 0.4730   |
+| 0.8351        | 4.0   | 732  | 0.8768          | 0.5054   |
+| 0.8143        | 5.0   | 915  | 0.8789          | 0.4973   |
+| 0.7892        | 6.0   | 1098 | 0.8924          | 0.4802   |
+| 0.7748        | 7.0   | 1281 | 0.8990          | 0.5045   |
+
+
+### Framework versions
+
+- Transformers 4.40.1
+- Pytorch 2.3.0+cu121
+- Datasets 2.19.0
+- Tokenizers 0.19.1

config.json

@@ -0,0 +1,38 @@
+{
+  "_name_or_path": "mhr2004/plm-nsp-10000",
+  "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,
+  "id2label": {
+    "0": "LABEL_0",
+    "1": "LABEL_1",
+    "2": "LABEL_2"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "LABEL_0": 0,
+    "LABEL_1": 1,
+    "LABEL_2": 2
+  },
+  "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:e1a877a7660c01df72fa7d1273e36f95e3680bd2600a1a13d6a5f0bfe2c5da90
+size 498615900

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7a5b19499ee4cae4afd29c35ac6c6734b5b2039c0892f147692e261f4c6f4b0e
+size 4920