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mikhail-panzo/
zlm-ceb_b64_le4_s8000

Name: zlm-ceb_b64_le4_s8000
Availability: InStock

generated_from_trainer

mikhail-panzo/zlm_b64_le4_s12000

finetune

mit

endpoints_compatible

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zlm-ceb_b64_le5_s8000

This model is a fine-tuned version of mikhail-panzo/zlm_b64_le4_s12000 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.4051

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: 0.0001
train_batch_size: 32
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 2000
training_steps: 8000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.4626	19.6078	500	0.4263
0.4288	39.2157	1000	0.4077
0.4109	58.8235	1500	0.4013
0.3978	78.4314	2000	0.4035
0.3898	98.0392	2500	0.4013
0.373	117.6471	3000	0.4010
0.3644	137.2549	3500	0.4005
0.3569	156.8627	4000	0.4029
0.3515	176.4706	4500	0.4039
0.3443	196.0784	5000	0.4005
0.3469	215.6863	5500	0.4018
0.3427	235.2941	6000	0.4001
0.3401	254.9020	6500	0.4042
0.3419	274.5098	7000	0.4054
0.3318	294.1176	7500	0.4057
0.3312	313.7255	8000	0.4051

Framework versions

Transformers 4.41.0.dev0
Pytorch 2.2.1+cu121
Datasets 2.19.0
Tokenizers 0.19.1

mikhail-panzo/zlm-ceb_b64_le4_s8000

zlm-ceb_b64_le5_s8000

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

mikhail-panzo/
zlm-ceb_b64_le4_s8000