Monda/marbert-mahed25-task1

README.md

@@ -0,0 +1,65 @@
+---
+library_name: transformers
+base_model: UBC-NLP/MARBERT
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: task1
+  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. -->
+
+# task1
+
+This model is a fine-tuned version of [UBC-NLP/MARBERT](https://huggingface.co/UBC-NLP/MARBERT) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6486
+- Accuracy: 0.7112
+- Macro F1: 0.6883
+
+## 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: 2e-05
+- train_batch_size: 16
+- eval_batch_size: 32
+- seed: 42
+- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | Macro F1 |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|
+| 0.773         | 1.0   | 345  | 0.6486          | 0.7112   | 0.6883   |
+| 0.5602        | 2.0   | 690  | 0.7584          | 0.6880   | 0.6497   |
+| 0.3315        | 3.0   | 1035 | 0.9695          | 0.6720   | 0.6594   |
+| 0.196         | 4.0   | 1380 | 1.4219          | 0.6647   | 0.6559   |
+| 0.1183        | 5.0   | 1725 | 1.6137          | 0.6655   | 0.6503   |
+
+
+### Framework versions
+
+- Transformers 4.53.1
+- Pytorch 2.6.0+cu124
+- Datasets 2.14.4
+- Tokenizers 0.21.2

config.json

@@ -10,16 +10,16 @@
   "hidden_dropout_prob": 0.1,
   "hidden_size": 768,
   "id2label": {
-    "0": "LABEL_0",
-    "1": "LABEL_1",
-    "2": "LABEL_2"
+    "0": "hate",
+    "1": "hope",
+    "2": "not_applicable"
   },
   "initializer_range": 0.02,
   "intermediate_size": 3072,
   "label2id": {
-    "LABEL_0": 0,
-    "LABEL_1": 1,
-    "LABEL_2": 2
+    "hate": 0,
+    "hope": 1,
+    "not_applicable": 2
   },
   "layer_norm_eps": 1e-12,
   "max_position_embeddings": 512,

eval_metrics.json

@@ -1,9 +1,9 @@
 {
-  "eval_loss": 0.6473047137260437,
+  "eval_loss": 0.6485912203788757,
   "eval_accuracy": 0.7111756168359942,
-  "eval_macro_f1": 0.6791029938850941,
-  "eval_runtime": 4.777,
-  "eval_samples_per_second": 288.468,
-  "eval_steps_per_second": 9.211,
+  "eval_macro_f1": 0.6882835055560014,
+  "eval_runtime": 4.7614,
+  "eval_samples_per_second": 289.409,
+  "eval_steps_per_second": 9.241,
   "epoch": 5.0
 }

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:1c35f782f5bab272eff04810d5e610645a797d2d1fa371774bb73c5b46a87d63
 size 651398148