stanfordnlp/imdb
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How to use tatakof/distillbert-base-spanish-uncased-finetuned-imdb with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("fill-mask", model="tatakof/distillbert-base-spanish-uncased-finetuned-imdb") # pip install -U transformers accelerate
# Load model directly
from transformers import AutoTokenizer, AutoModelForMaskedLM
tokenizer = AutoTokenizer.from_pretrained("tatakof/distillbert-base-spanish-uncased-finetuned-imdb")
model = AutoModelForMaskedLM.from_pretrained("tatakof/distillbert-base-spanish-uncased-finetuned-imdb", device_map="auto")This model is a fine-tuned version of CenIA/distillbert-base-spanish-uncased 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 |
|---|---|---|---|
| 3.1075 | 1.0 | 157 | 2.6769 |
| 2.7807 | 2.0 | 314 | 2.5764 |
| 2.7003 | 3.0 | 471 | 2.5571 |