[huggingface_pytorch] Training - update for Transformers to 4.40.1 PyTorch 2.2

[JingyaHuang]

GitHub Issue #3870:

This PR updates Hugginface's PyTorch DLC for inference. Here are the corresponding updated dependencies versions:

• transformers: 4.40.1
• datasets: 2.19.0
• evaluate: 0.4.2
• accelerate: 0.29.3
• torch: 2.2.0
• diffusers: 0.27.2
• trl: 0.8.6
• peft: 0.10.0
• flash-attn:2.5.8

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Description

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• I've prepended PR tag with frameworks/job this applies to : [mxnet, tensorflow, pytorch] | [ei/neuron/graviton] | [build] | [test] | [benchmark] | [ec2, ecs, eks, sagemaker]
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[JingyaHuang]

I temporarily set fp16=False to pass the smdp gpu training test, since otherwise we will get the following error:

ValueError: FP16 Mixed precision training with AMP or APEX (`--fp16`) and FP16 half precision evaluation 
(`--fp16_full_eval`) can only be used on CUDA or MLU devices or NPU devices or certain XPU devices (with IPEX).

Which hints that the cuda environment is not correctly setup. The HF DLC is based on the PT training DLC in which the cuda shall be setup, I wonder if half precision is working in the base DLC? And maybe I need to do something in our dlc to activate the cuda env?

[github-actions]

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