alperengozeten/results

README.md

@@ -0,0 +1,84 @@
+---
+license: mit
+base_model: dbmdz/bert-base-turkish-cased
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: results
+  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. -->
+
+# results
+
+This model is a fine-tuned version of [dbmdz/bert-base-turkish-cased](https://huggingface.co/dbmdz/bert-base-turkish-cased) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1216
+- Accuracy: 0.9767
+
+## 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: 16
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 1.0625        | 0.12  | 200  | 0.3592          | 0.8799   |
+| 0.2277        | 0.25  | 400  | 0.1771          | 0.9473   |
+| 0.202         | 0.37  | 600  | 0.1594          | 0.9602   |
+| 0.1711        | 0.5   | 800  | 0.1588          | 0.9612   |
+| 0.1532        | 0.62  | 1000 | 0.1764          | 0.9525   |
+| 0.1508        | 0.75  | 1200 | 0.1482          | 0.9627   |
+| 0.1441        | 0.87  | 1400 | 0.1102          | 0.9719   |
+| 0.1128        | 0.99  | 1600 | 0.1284          | 0.9686   |
+| 0.07          | 1.12  | 1800 | 0.1321          | 0.9686   |
+| 0.0812        | 1.24  | 2000 | 0.1365          | 0.9706   |
+| 0.0858        | 1.37  | 2200 | 0.1046          | 0.9719   |
+| 0.0636        | 1.49  | 2400 | 0.1263          | 0.9709   |
+| 0.0861        | 1.62  | 2600 | 0.1081          | 0.9742   |
+| 0.0623        | 1.74  | 2800 | 0.1148          | 0.9748   |
+| 0.082         | 1.86  | 3000 | 0.0877          | 0.9778   |
+| 0.0456        | 1.99  | 3200 | 0.1167          | 0.9751   |
+| 0.0277        | 2.11  | 3400 | 0.1147          | 0.9759   |
+| 0.0205        | 2.24  | 3600 | 0.1247          | 0.9753   |
+| 0.0167        | 2.36  | 3800 | 0.1188          | 0.9776   |
+| 0.0185        | 2.49  | 4000 | 0.1362          | 0.9762   |
+| 0.0156        | 2.61  | 4200 | 0.1254          | 0.9762   |
+| 0.0273        | 2.73  | 4400 | 0.1230          | 0.9768   |
+| 0.019         | 2.86  | 4600 | 0.1245          | 0.9764   |
+| 0.0102        | 2.98  | 4800 | 0.1216          | 0.9767   |
+
+
+### Framework versions
+
+- Transformers 4.35.1
+- Pytorch 2.1.0+cu118
+- Datasets 2.14.7
+- Tokenizers 0.14.1

config.json

@@ -0,0 +1,38 @@
+{
+  "_name_or_path": "dbmdz/bert-base-turkish-cased",
+  "architectures": [
+    "BertForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "excitement",
+    "1": "displeasure",
+    "2": "anger",
+    "3": "neutral"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "anger": 2,
+    "displeasure": 1,
+    "excitement": 0,
+    "neutral": 3
+  },
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 0,
+  "position_embedding_type": "absolute",
+  "problem_type": "single_label_classification",
+  "torch_dtype": "float32",
+  "transformers_version": "4.35.1",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 32000
+}

model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c96365217fc120d4e0692196043cd50baef9ef131acdf04590d1bf93f971122f
+size 442505216

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1bd199cd7372100973ef0823c305c89acfcdc364c0d2d5149c0800ac893d77d2
+size 4536