End of training

README.md

@@ -0,0 +1,64 @@
+---
+base_model: juniorjukeko/emotion-classificationV3
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: emotion-classificationV3
+  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. -->
+
+# emotion-classificationV3
+
+This model is a fine-tuned version of [juniorjukeko/emotion-classificationV3](https://huggingface.co/juniorjukeko/emotion-classificationV3) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.8945
+- Accuracy: 0.5687
+
+## 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: 32
+- eval_batch_size: 32
+- seed: 143
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 128
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 1.0   | 5    | 1.9717          | 0.55     |
+| 0.0097        | 2.0   | 10   | 1.9848          | 0.5437   |
+| 0.0097        | 3.0   | 15   | 2.1587          | 0.5      |
+
+
+### Framework versions
+
+- Transformers 4.33.2
+- Pytorch 2.0.1+cu118
+- Datasets 2.14.5
+- Tokenizers 0.13.3

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:33a0046f74746649cb75c3ebdcd24354bae8253c8edad7df1c0de446a2c2c669
+oid sha256:1d9a633dcaef680ec996a8eb567e8554138f0e4bdd5de35f315684cba6d1e698
 size 343287149