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mixtral_5_toy_model

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

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The following hyperparameters were used during training:

learning_rate: 0.0001
train_batch_size: 4
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 4
gradient_accumulation_steps: 16
total_train_batch_size: 256
total_eval_batch_size: 32
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-06 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
training_steps: 780
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss
No log	0	0	10.9749
10.7986	1.256	50	10.5715
10.3611	2.512	100	10.1266
9.8898	3.768	150	9.7008
9.5128	5.0	200	9.4023
9.169	6.256	250	9.0760
8.833	7.5120	300	8.8510
8.5735	8.768	350	8.6894
8.3489	10.0	400	8.6102
8.134	11.256	450	8.5842
7.9193	12.512	500	8.5650
7.6925	13.768	550	8.5667
7.4401	15.0	600	8.5921
7.1474	16.256	650	8.6214
6.9251	17.512	700	8.6492
6.7407	18.768	750	8.6718

Safetensors

Model size

0.2B params

Tensor type

F32