f2llm-sentiment-ablation-E – AI Model by akseljoonas | AlphaNeural AI

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akseljoonas/
f2llm-sentiment-ablation-E

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text-classification

generated_from_trainer

codefuse-ai/F2LLM-0.6B

text-embeddings-inference

endpoints_compatible

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f2llm-sentiment-ablation-E

This model is a fine-tuned version of codefuse-ai/F2LLM-0.6B on the None dataset. It achieves the following results on the evaluation set:

Loss: 1.1899
F1 Macro: 0.4128
F1 Weighted: 0.5379
Accuracy: 0.5539

Model description

More information needed

Intended uses & limitations

More information needed

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: 16
eval_batch_size: 32
seed: 42
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: cosine
lr_scheduler_warmup_steps: 0.15
num_epochs: 5
label_smoothing_factor: 0.1

Training results

Training Loss	Epoch	Step	Validation Loss	F1 Macro	F1 Weighted	Accuracy
0.9551	1.0	222	1.0047	0.3164	0.4969	0.5974
0.9266	2.0	444	0.9655	0.3473	0.5131	0.6
0.8079	3.0	666	1.0021	0.4126	0.5493	0.5868
0.5796	4.0	888	1.1572	0.4181	0.5432	0.5645
0.4677	5.0	1110	1.1899	0.4128	0.5379	0.5539

Framework versions

Transformers 5.3.0
Pytorch 2.10.0+cu128
Datasets 4.7.0
Tokenizers 0.22.2