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ruadapt_qwen2.5_3B_u48_full_lr3e4_bs256 – AI Model by RefalMachine | AlphaNeural AI | AlphaNeural AI
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ruadapt_qwen2.5_3B_u48_full_lr3e4_bs256
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qwen2
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RefalMachine/ruadapt_qwen2.5_3B_u48_mean_init
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ruadapt_qwen2.5_3B_u48_full_lr3e4_bs256
This model is a fine-tuned version of
RefalMachine/ruadapt_qwen2.5_3B_u48_mean_init
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 2.4520
Accuracy: 0.5011
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: 0.0003
train_batch_size: 2
eval_batch_size: 2
seed: 42
distributed_type: multi-GPU
num_devices: 64
gradient_accumulation_steps: 2
total_train_batch_size: 256
total_eval_batch_size: 128
optimizer: Adam with betas=(0.9,0.95) and epsilon=1e-05
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 100
num_epochs: 1.0
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
No log
0.0
1
6.0677
0.1658
2.621
0.17
2000
2.4938
0.4960
2.5772
0.34
4000
2.4647
0.4995
2.573
0.51
6000
2.4562
0.5005
2.5707
0.68
8000
2.4528
0.5010
2.5741
0.84
10000
2.4521
0.5010
Framework versions
Transformers 4.37.2
Pytorch 2.3.0a0+6ddf5cf85e.nv24.04
Datasets 2.18.0
Tokenizers 0.15.2
