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Bump transformers from 4.36.1 to 4.41.1 #148

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May 29, 2024

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@dependabot dependabot bot commented on behalf of github May 27, 2024

Bumps transformers from 4.36.1 to 4.41.1.

Release notes

Sourced from transformers's releases.

Release v4.41.1 Fix PaliGemma finetuning, and some small bugs

Release v4.41.1

Fix PaliGemma finetuning:

The causal mask and label creation was causing label leaks when training. Kudos to @​probicheaux for finding and reporting!

Other fixes:

Reverted huggingface/transformers@4ab7a28

v4.41.0: Phi3, JetMoE, PaliGemma, VideoLlava, Falcon2, FalconVLM & GGUF support

New models

Phi3

The Phi-3 model was proposed in Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone by Microsoft.

TLDR; Phi-3 introduces new ROPE scaling methods, which seems to scale fairly well! A 3b and a Phi-3-mini is available in two context-length variants—4K and 128K tokens. It is the first model in its class to support a context window of up to 128K tokens, with little impact on quality.

JetMoE

JetMoe-8B is an 8B Mixture-of-Experts (MoE) language model developed by Yikang Shen and MyShell. JetMoe project aims to provide a LLaMA2-level performance and efficient language model with a limited budget. To achieve this goal, JetMoe uses a sparsely activated architecture inspired by the ModuleFormer. Each JetMoe block consists of two MoE layers: Mixture of Attention Heads and Mixture of MLP Experts. Given the input tokens, it activates a subset of its experts to process them. This sparse activation schema enables JetMoe to achieve much better training throughput than similar size dense models. The training throughput of JetMoe-8B is around 100B tokens per day on a cluster of 96 H100 GPUs with a straightforward 3-way pipeline parallelism strategy.

PaliGemma

PaliGemma is a lightweight open vision-language model (VLM) inspired by PaLI-3, and based on open components like the SigLIP vision model and the Gemma language model. PaliGemma takes both images and text as inputs and can answer questions about images with detail and context, meaning that PaliGemma can perform deeper analysis of images and provide useful insights, such as captioning for images and short videos, object detection, and reading text embedded within images.

More than 120 checkpoints are released see the collection here !

... (truncated)

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Bumps [transformers](https://github.com/huggingface/transformers) from 4.36.1 to 4.41.1.
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v4.36.1...v4.41.1)

---
updated-dependencies:
- dependency-name: transformers
  dependency-type: direct:production
  update-type: version-update:semver-minor
...

Signed-off-by: dependabot[bot] <support@github.com>
@dependabot dependabot bot added the dependencies Pull requests that update a dependency file label May 27, 2024
@davidycliao davidycliao merged commit bd29586 into main May 29, 2024
15 of 18 checks passed
@dependabot dependabot bot deleted the dependabot/pip/transformers-4.41.1 branch May 29, 2024 14:25
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