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LLM4MT-zh2en-10k – AI Model by pangjh3 | AlphaNeural AI

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pangjh3/
LLM4MT-zh2en-10k

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text-generation

generated_from_trainer

autotrain_compatible

text-generation-inference

endpoints_compatible

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llama2-sfton-10000-bitexts-and-alpacagpt4-and-newstests17to20

This model is a fine-tuned version of Llama-2-7b-hf.

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: 2e-05
train_batch_size: 48
eval_batch_size: 2
seed: 34
distributed_type: multi-GPU
num_devices: 32
total_train_batch_size: 1536
total_eval_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.03
num_epochs: 3.0

Training results

Framework versions

Transformers 4.28.0.dev0
Pytorch 1.13.1+cu117
Datasets 2.14.6
Tokenizers 0.13.3