step_val_25_gemma-2-2b_hs2_iter1_sftsd2

jkazdan/step_val_25_gemma-2-2b_hs2_iter1_sftsd2

step_val_25_gemma-2-2b_hs2_iter1_sftsd2 is a machine learning model from jkazdan. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as gemma.

should probably proofread and complete it, then remove this comment. --

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Hugging Face

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At a glance

License: gemma
Model type: gemma2
Access: Public
Created: Sep 25, 2024
Updated: Sep 25, 2024
SHA: 908e27b9

Base models

google/gemma-2-2b

Model card

From the Hugging Face model README

step_val_25_gemma-2-2b_hs2_iter1_sftsd2

This model is a fine-tuned version of google/gemma-2-2b on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.0950
Num Input Tokens Seen: 1470072

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: 8e-06
train_batch_size: 8
eval_batch_size: 16
seed: 2
gradient_accumulation_steps: 16
total_train_batch_size: 128
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant_with_warmup
lr_scheduler_warmup_ratio: 0.05
training_steps: 25

Training results

Training Loss	Epoch	Step	Validation Loss	Input Tokens Seen
No log	0	0	1.3956	0
1.188	0.0511	5	1.2111	295904
1.1647	0.1021	10	1.1523	591104
1.1386	0.1532	15	1.1210	883280
1.0904	0.2042	20	1.1020	1177976
1.0895	0.2553	25	1.0950	1470072

Framework versions

Transformers 4.44.0
Pytorch 2.4.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1

Type: gemma2
License: gemma
Created: Sep 25, 2024
Updated: Sep 25, 2024