distilroberta-raw – AI Model by emotions-entailment | AlphaNeural AI

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emotions-entailment/
distilroberta-raw

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text-classification

generated_from_trainer

emotions-entailment/zero-shot-emotions

distilbert/distilroberta-base

text-embeddings-inference

endpoints_compatible

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distilroberta-emotions-raw

This model is a fine-tuned version of distilbert/distilroberta-base. It achieves the following results on the evaluation set:

Loss: 0.3939
F1 Micro: 0.8417
F1 Macro: 0.7867
Precision Micro: 0.8719
Recall Micro: 0.8134

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: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 3
total_train_batch_size: 24
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 3143
num_epochs: 3
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	F1 Micro	F1 Macro	Precision Micro	Recall Micro
1.1942	1.0	10479	0.3989	0.8204	0.7646	0.8498	0.7930
1.1966	2.0	20958	0.3965	0.8396	0.7979	0.8553	0.8245
1.1872	3.0	31437	0.3959	0.8458	0.8043	0.8720	0.8211

Framework versions

Transformers 5.10.2
Pytorch 2.11.0+cu128
Datasets 4.8.5
Tokenizers 0.22.2