stanfordnlp/imdb
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How to use muhtasham/tiny-mlm-imdb-target-imdb with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("text-classification", model="muhtasham/tiny-mlm-imdb-target-imdb") # Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("muhtasham/tiny-mlm-imdb-target-imdb")
model = AutoModelForSequenceClassification.from_pretrained("muhtasham/tiny-mlm-imdb-target-imdb")This model is a fine-tuned version of muhtasham/tiny-mlm-imdb on the imdb dataset. It achieves the following results on the evaluation set:
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The following hyperparameters were used during training:
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.5432 | 0.64 | 500 | 0.3567 | 0.8578 | 0.9235 |
| 0.366 | 1.28 | 1000 | 0.3687 | 0.8414 | 0.9138 |
| 0.32 | 1.92 | 1500 | 0.2648 | 0.8922 | 0.9430 |
| 0.2868 | 2.56 | 2000 | 0.3868 | 0.8314 | 0.9079 |
| 0.2671 | 3.2 | 2500 | 0.3092 | 0.8774 | 0.9347 |
| 0.248 | 3.84 | 3000 | 0.2699 | 0.8895 | 0.9415 |