clucker
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sI_b256

Text Generation

Generated from Trainer

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sI_b256

This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 3.1416

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: 0.0035355339059327372
train_batch_size: 256
eval_batch_size: 256
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 2048
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 1000
num_epochs: 1
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
3.9254	0.1718	5000	3.5494
3.5128	0.3435	10000	3.4209
3.4093	0.5153	15000	3.3317
3.3189	0.6871	20000	3.2404
3.2233	0.8588	25000	3.1416

Framework versions

Transformers 4.45.0.dev0
Pytorch 2.4.1+cu124
Datasets 3.0.0
Tokenizers 0.19.1

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Safetensors

Model size

0.4B params

Tensor type

F32

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