End of training

README.md

@@ -15,12 +15,12 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [poom-sci/WangchanBERTa-finetuned-sentiment](https://huggingface.co/poom-sci/WangchanBERTa-finetuned-sentiment) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- eval_loss: 0.5924
-- eval_accuracy: {'accuracy': 0.8717948717948718}
-- eval_f1score: {'f1': 0.8624708624708624}
-- eval_runtime: 1.7476
-- eval_samples_per_second: 22.316
-- eval_steps_per_second: 2.861
+- eval_loss: 0.0002
+- eval_accuracy: {'accuracy': 1.0}
+- eval_f1score: {'f1': 1.0}
+- eval_runtime: 2.6247
+- eval_samples_per_second: 44.195
+- eval_steps_per_second: 5.715
 - step: 0
 
 ## Model description
@@ -46,12 +46,12 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- lr_scheduler_warmup_steps: 26
+- lr_scheduler_warmup_steps: 80
 - num_epochs: 7
 
 ### Framework versions
 
-- Transformers 4.40.2
-- Pytorch 2.2.1+cu121
+- Transformers 4.41.0
+- Pytorch 2.3.0+cu121
 - Datasets 2.19.1
 - Tokenizers 0.19.1

config.json

@@ -33,7 +33,7 @@
   "position_embedding_type": "absolute",
   "problem_type": "single_label_classification",
   "torch_dtype": "float32",
-  "transformers_version": "4.40.2",
+  "transformers_version": "4.41.0",
   "type_vocab_size": 1,
   "use_cache": true,
   "vocab_size": 25005

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training_args.bin

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