sofascore-multitask – AI Model by guilhermemoraisr | AlphaNeural AI

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guilhermemoraisr/
sofascore-multitask

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meta-llama/Llama-2-7b-hf

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meta-llama/Llama-2-7b-hf

This model is a fine-tuned version of meta-llama/Llama-2-7b-hf on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.2159
Rouge1: 0.8791
Rouge2: 0.7599
Rougel: 0.8661

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: 0.0002
train_batch_size: 2
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 4
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant
lr_scheduler_warmup_ratio: 0.03
num_epochs: 5
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel
0.2548	0.9990	513	0.2430	0.8707	0.7454	0.8577
0.2351	2.0	1027	0.2333	0.8717	0.7503	0.8613
0.2108	2.9990	1540	0.2205	0.8745	0.7543	0.8634
0.1954	4.0	2054	0.2159	0.8791	0.7599	0.8661
0.1998	4.9951	2565	0.2147	0.8822	0.7606	0.8661

Framework versions

PEFT 0.13.1
Transformers 4.45.2
Pytorch 2.4.1+cu121
Datasets 3.0.1
Tokenizers 0.20.0