sft-xcomet_xl_xxl-chosen-10lp-shuff-full-tiny64 – AI Model by martimfasantos | AlphaNeural AI

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martimfasantos/
sft-xcomet_xl_xxl-chosen-10lp-shuff-full-tiny64

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text-generation

generated_from_trainer

TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T

autotrain_compatible

text-generation-inference

endpoints_compatible

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sft-xcomet_xl_xxl-chosen-10lp-shuff-full-tiny64

This model is a fine-tuned version of TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T on the Unbabel/TowerAligned-v0.1 dataset. It achieves the following results on the evaluation set:

Loss: 0.7255
Nll Loss: 0.7255
Logps/best: -72.0598
Rewards/chosen: 3.1294
Rewards/rejected: 2.7165
Rewards/accuracies: 0.6760
Rewards/margins: 0.4130
Logps/rejected: -70.2582
Logps/chosen: -72.0598
Logits/rejected: -1.7625
Logits/chosen: -1.8900

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: 1e-05
train_batch_size: 1
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 64
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.95) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Nll Loss	Logps/best	Rewards/chosen	Rewards/rejected	Rewards/accuracies	Rewards/margins	Logps/rejected	Logps/chosen	Logits/rejected	Logits/chosen
0.7157	0.4254	100	0.7343	0.7343	-72.9338	3.0420	2.6428	0.6900	0.3992	-70.9947	-72.9338	-1.7591	-1.8861
0.7177	0.8508	200	0.7255	0.7255	-72.0598	3.1294	2.7165	0.6760	0.4130	-70.2582	-72.0598	-1.7625	-1.8900

Framework versions

Transformers 4.43.3
Pytorch 2.4.0+cu121
Datasets 2.17.0
Tokenizers 0.19.1