Vyke2000/BERT_v3

README.md

@@ -0,0 +1,76 @@
+---
+library_name: transformers
+license: apache-2.0
+base_model: Sakonii/distilbert-base-nepali
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- recall
+- precision
+- f1
+model-index:
+- name: BERT_Classifier_DE
+  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. -->
+
+# BERT_Classifier_DE
+
+This model is a fine-tuned version of [Sakonii/distilbert-base-nepali](https://huggingface.co/Sakonii/distilbert-base-nepali) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.8645
+- Accuracy: 0.7815
+- Recall: 0.6421
+- Precision: 0.6362
+- F1: 0.6294
+
+## 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: 1.9165942005355648e-05
+- train_batch_size: 8
+- eval_batch_size: 64
+- 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
+- lr_scheduler_warmup_ratio: 0.17707559519779958
+- num_epochs: 20
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | Recall | Precision | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
+| No log        | 1.0   | 286  | 1.2997          | 0.7902   | 0.25   | 0.1976    | 0.2207 |
+| 1.1831        | 2.0   | 572  | 1.0854          | 0.7273   | 0.3508 | 0.2747    | 0.2957 |
+| 1.1831        | 3.0   | 858  | 1.0082          | 0.7640   | 0.4274 | 0.4180    | 0.3991 |
+| 0.8686        | 4.0   | 1144 | 0.8645          | 0.7815   | 0.6421 | 0.6362    | 0.6294 |
+| 0.8686        | 5.0   | 1430 | 0.9993          | 0.7483   | 0.5696 | 0.5609    | 0.5560 |
+| 0.6366        | 6.0   | 1716 | 1.1232          | 0.7413   | 0.5868 | 0.4968    | 0.5287 |
+| 0.4593        | 7.0   | 2002 | 1.5033          | 0.7483   | 0.4918 | 0.4888    | 0.4902 |
+| 0.4593        | 8.0   | 2288 | 1.5870          | 0.7413   | 0.5122 | 0.4819    | 0.4950 |
+| 0.3643        | 9.0   | 2574 | 2.0792          | 0.7255   | 0.4719 | 0.4854    | 0.4754 |
+
+
+### Framework versions
+
+- Transformers 4.47.0
+- Pytorch 2.5.1+cu121
+- Datasets 3.2.0
+- Tokenizers 0.21.0

config.json

@@ -0,0 +1,36 @@
+{
+  "_name_or_path": "Sakonii/distilbert-base-nepali",
+  "activation": "gelu",
+  "architectures": [
+    "DistilBertForSequenceClassification"
+  ],
+  "attention_dropout": 0.1,
+  "dim": 768,
+  "dropout": 0.1,
+  "hidden_dim": 3072,
+  "id2label": {
+    "0": "LABEL_0",
+    "1": "LABEL_1",
+    "2": "LABEL_2",
+    "3": "LABEL_3"
+  },
+  "initializer_range": 0.02,
+  "label2id": {
+    "LABEL_0": 0,
+    "LABEL_1": 1,
+    "LABEL_2": 2,
+    "LABEL_3": 3
+  },
+  "max_position_embeddings": 512,
+  "model_type": "distilbert",
+  "n_heads": 12,
+  "n_layers": 6,
+  "pad_token_id": 0,
+  "qa_dropout": 0.1,
+  "seq_classif_dropout": 0.2,
+  "sinusoidal_pos_embds": false,
+  "tie_weights_": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.47.0",
+  "vocab_size": 30522
+}

model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:beb80a183a87bf7f00ae9a8452f9c0309c5b109f42b801dbd5d003a36899340f
+size 267838720

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:acf6f60c2949e5d9a00f9189c6f0b3145db8edb1eb1d6e1e21290b5afdb59c3b
+size 5368