| language: en | |
| license: apache-2.0 | |
| datasets: | |
| - sst2 | |
| # distilbert-base-uncased-sentiment-sst2 | |
| This model will be able to identify positivity or negativity present in the sentence | |
| ## Dataset: | |
| The Stanford Sentiment Treebank from GLUE | |
| ## Results: | |
| ``` | |
| ***** eval metrics ***** | |
| epoch = 3.0 | |
| eval_accuracy = 0.9094 | |
| eval_loss = 0.3514 | |
| eval_runtime = 0:00:03.60 | |
| eval_samples = 872 | |
| eval_samples_per_second = 242.129 | |
| eval_steps_per_second = 30.266 | |
| ``` |