metadata

base_model: elyza/ELYZA-japanese-Llama-2-7b-instruct
tags:
  - generated_from_trainer
model-index:
  - name: medusa-ELYZA-japanese-Llama-2-7b-instruct
    results: []

medusa-ELYZA-japanese-Llama-2-7b-instruct

This model is a fine-tuned version of elyza/ELYZA-japanese-Llama-2-7b-instruct on the None dataset. It achieves the following results on the evaluation set:

Loss: 2.3564

Model description

This is a Medusa-2 created using Medusa.

Intended uses & limitations

【Orion-14B Series】 Models Community License Agreement

Training and evaluation data

shi3z/ja_conv_wikipedia_orion14B_100K

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 0.0005
train_batch_size: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 40
num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss
2.684	0.06	40	2.7430
2.5302	0.11	80	2.6693
2.486	0.17	120	2.6273
2.557	0.23	160	2.6020
2.4913	0.28	200	2.5868
2.5317	0.34	240	2.5646
2.4795	0.4	280	2.5521
2.4221	0.45	320	2.5359
2.4464	0.51	360	2.5231
2.4534	0.57	400	2.5095
2.4685	0.62	440	2.4967
2.4575	0.68	480	2.4849
2.4299	0.74	520	2.4771
2.459	0.79	560	2.4604
2.4585	0.85	600	2.4527
2.4832	0.91	640	2.4425
2.4255	0.96	680	2.4285
2.2209	1.02	720	2.4312
2.3142	1.07	760	2.4288
2.1961	1.13	800	2.4252
2.1394	1.19	840	2.4194
2.2005	1.24	880	2.4093
2.0748	1.3	920	2.4003
2.109	1.36	960	2.3935
2.2209	1.41	1000	2.3856
2.1938	1.47	1040	2.3786
2.1056	1.53	1080	2.3716
2.0948	1.58	1120	2.3674
2.218	1.64	1160	2.3629
2.17	1.7	1200	2.3601
2.1084	1.75	1240	2.3590
2.0446	1.81	1280	2.3567
2.1517	1.87	1320	2.3572
2.2342	1.92	1360	2.3565
2.1552	1.98	1400	2.3564

Framework versions

Transformers 4.34.1
Pytorch 2.1.2
Datasets 2.16.1
Tokenizers 0.14.1