End of training

README.md

@@ -16,8 +16,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [techthiyanes/chinese_sentiment](https://huggingface.co/techthiyanes/chinese_sentiment) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.1004
-- Accuracy: 0.4061
+- Loss: 0.9208
+- Accuracy: 0.5955
 
 ## Model description
 
@@ -48,9 +48,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.8995        | 1.0   | 1152 | 0.9571          | 0.3551   |
-| 0.8557        | 2.0   | 2304 | 0.9957          | 0.3757   |
-| 0.9867        | 3.0   | 3456 | 1.1004          | 0.4061   |
+| 0.925         | 1.0   | 1152 | 0.8893          | 0.5927   |
+| 0.8375        | 2.0   | 2304 | 0.8942          | 0.5994   |
+| 0.8316        | 3.0   | 3456 | 0.9208          | 0.5955   |
 
 
 ### Framework versions

config.json

@@ -32,6 +32,7 @@
   "num_hidden_layers": 12,
   "pad_token_id": 0,
   "position_embedding_type": "absolute",
+  "problem_type": "single_label_classification",
   "torch_dtype": "float32",
   "transformers_version": "4.39.3",
   "type_vocab_size": 2,

model.safetensors

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 size 409109468

runs/May11_06-07-26_6fd78f6443ea/events.out.tfevents.1715407666.6fd78f6443ea.23.0

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training_args.bin

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