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audioflamingo3-asr-finetuned – AI Model by ArianKai | AlphaNeural AI
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audioflamingo3-asr-finetuned
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transformers
safetensors
glmasr
text2text-generation
generated_from_trainer
zai-org/GLM-ASR-Nano-2512
finetune
mit
endpoints_compatible
us
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audioflamingo3-asr-finetuned
This model is a fine-tuned version of
zai-org/GLM-ASR-Nano-2512
on the None dataset. It achieves the following results on the evaluation set:
Loss: 2.3062
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: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 8
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: 0.1
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
2.5048
0.6832
100
2.3283
2.1591
1.3621
200
2.2963
2.1588
2.0410
300
2.2902
2.0361
2.7242
400
2.3062
Framework versions
Transformers 5.0.0.dev0
Pytorch 2.9.0+cu128
Datasets 2.18.0
Tokenizers 0.22.1
