Model save

README.md

@@ -1,8 +1,9 @@
 ---
-license: mit
-base_model: xlm-roberta-large
+base_model: aubmindlab/bert-large-arabertv02-twitter
 tags:
 - generated_from_trainer
+metrics:
+- accuracy
 model-index:
 - name: arabert-sentiment-classification
   results: []
@@ -13,16 +14,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 # arabert-sentiment-classification
 
-This model is a fine-tuned version of [xlm-roberta-large](https://huggingface.co/xlm-roberta-large) on an unknown dataset.
+This model is a fine-tuned version of [aubmindlab/bert-large-arabertv02-twitter](https://huggingface.co/aubmindlab/bert-large-arabertv02-twitter) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- eval_loss: 0.6336
-- eval_macro_f1: 0.6099
-- eval_accuracy: 0.7641
-- eval_runtime: 92.4531
-- eval_samples_per_second: 43.049
-- eval_steps_per_second: 2.693
-- epoch: 2.0
-- step: 995
+- Loss: 0.6045
+- Macro F1: 0.6642
+- Accuracy: 0.7837
 
 ## Model description
 
@@ -43,7 +39,7 @@ More information needed
 The following hyperparameters were used during training:
 - learning_rate: 2e-05
 - train_batch_size: 16
-- eval_batch_size: 16
+- eval_batch_size: 128
 - seed: 25
 - gradient_accumulation_steps: 2
 - total_train_batch_size: 32
@@ -51,6 +47,15 @@ The following hyperparameters were used during training:
 - lr_scheduler_type: linear
 - num_epochs: 3
 
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Macro F1 | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|
+| No log        | 1.0   | 491  | 0.5546          | 0.6309   | 0.7916   |
+| 0.6287        | 2.0   | 983  | 0.6021          | 0.6662   | 0.7809   |
+| 0.5234        | 3.0   | 1473 | 0.6045          | 0.6642   | 0.7837   |
+
+
 ### Framework versions
 
 - Transformers 4.34.0

config.json

@@ -10,18 +10,18 @@
   "hidden_dropout_prob": 0.1,
   "hidden_size": 1024,
   "id2label": {
-    "0": "LABEL_0",
-    "1": "LABEL_1",
-    "2": "LABEL_2",
-    "3": "LABEL_3"
+    "0": "Positive",
+    "1": "Negative",
+    "2": "Neutral",
+    "3": "Mixed"
   },
   "initializer_range": 0.02,
   "intermediate_size": 4096,
   "label2id": {
-    "LABEL_0": 0,
-    "LABEL_1": 1,
-    "LABEL_2": 2,
-    "LABEL_3": 3
+    "Mixed": 3,
+    "Negative": 1,
+    "Neutral": 2,
+    "Positive": 0
   },
   "layer_norm_eps": 1e-12,
   "max_position_embeddings": 512,

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:9abcc976dab4e4e919855201c143b25a8799bcd4029022f6c2c51c8cafc26971
+oid sha256:b42a2a27ea422af51361ea2ab1930ba177641d719e27e5564e499cfb6f35a40f
 size 1477844273