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phi-1_5-sft

Text Generation

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text-generation-inference

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phi-1_5-sft-openhermes-v2

This model is a fine-tuned version of microsoft/phi-1_5 on the generator dataset. It achieves the following results on the evaluation set:

Loss: 1.1750

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-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
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: 500
num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss
1.7865	0.0831	275	1.4033
1.3614	0.1663	550	1.3218
1.2986	0.2494	825	1.2788
1.2667	0.3325	1100	1.2531
1.2405	0.4157	1375	1.2376
1.2239	0.4988	1650	1.2237
1.2078	0.5819	1925	1.2122
1.2114	0.6651	2200	1.2005
1.2028	0.7482	2475	1.1915
1.173	0.8313	2750	1.1833
1.1782	0.9144	3025	1.1776
1.1805	0.9976	3300	1.1720
1.0112	1.0807	3575	1.1817
0.9988	1.1638	3850	1.1791
0.9919	1.2470	4125	1.1786
0.9886	1.3301	4400	1.1768
0.9904	1.4132	4675	1.1763
1.001	1.4964	4950	1.1756
0.9979	1.5795	5225	1.1751
0.9858	1.6626	5500	1.1750
0.9975	1.7458	5775	1.1750
0.9924	1.8289	6050	1.1750
0.9978	1.9120	6325	1.1750
0.9892	1.9952	6600	1.1750

Framework versions

Transformers 4.42.4
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1

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Model size

1.41B params

Tensor type

BF16

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Text Generation

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Evaluation results

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