Instructions to use zouhar/COMET-partial with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- COMET
How to use zouhar/COMET-partial with COMET:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
File size: 590 Bytes
5356c69 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 | activations: Tanh
batch_size: 16
class_identifier: referenceless_regression_metric
dropout: 0.1
encoder_learning_rate: 1.0e-06
encoder_model: XLM-RoBERTa
final_activation: null
hidden_sizes:
- 2048
- 1024
keep_embeddings_frozen: true
layer: mix
layer_norm: false
layer_transformation: sparsemax
layerwise_decay: 0.95
learning_rate: 1.5e-05
load_pretrained_weights: true
local_files_only: false
loss: mse
nr_frozen_epochs: 0.3
optimizer: AdamW
pool: cls
pretrained_model: xlm-roberta-large
train_data:
- data/csv/train_partial.csv
validation_data:
- data/csv/dev_partial.csv
warmup_steps: 0
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