electra-3-epoch-sentiment

README.md

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+---
+license: apache-2.0
+base_model: google/electra-small-discriminator
+tags:
+- generated_from_trainer
+datasets:
+- tweet_eval
+metrics:
+- accuracy
+- precision
+- recall
+model-index:
+- name: electra-3-epoch-sentiment
+  results:
+  - task:
+      name: Text Classification
+      type: text-classification
+    dataset:
+      name: tweet_eval
+      type: tweet_eval
+      config: sentiment
+      split: test
+      args: sentiment
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.6927710843373494
+    - name: Precision
+      type: precision
+      value: 0.6963974153224572
+    - name: Recall
+      type: recall
+      value: 0.6927710843373494
+---
+
+<!-- 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. -->
+
+# electra-3-epoch-sentiment
+
+This model is a fine-tuned version of [google/electra-small-discriminator](https://huggingface.co/google/electra-small-discriminator) on the tweet_eval dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.7127
+- Accuracy: 0.6928
+- Precision: 0.6964
+- Recall: 0.6928
+- Micro-avg-recall: 0.6928
+- Micro-avg-precision: 0.6928
+
+## 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: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | Micro-avg-recall | Micro-avg-precision |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:----------------:|:-------------------:|
+| 0.6214        | 1.0   | 2851 | 0.6877          | 0.6987   | 0.6987    | 0.6987 | 0.6987           | 0.6987              |
+| 0.6445        | 2.0   | 5702 | 0.7335          | 0.6853   | 0.6915    | 0.6853 | 0.6853           | 0.6853              |
+| 0.5909        | 3.0   | 8553 | 0.7127          | 0.6928   | 0.6964    | 0.6928 | 0.6928           | 0.6928              |
+
+
+### Framework versions
+
+- Transformers 4.33.0
+- Pytorch 2.0.0
+- Datasets 2.1.0
+- Tokenizers 0.13.3

training_args.bin

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