Fill-Mask
PEFT
Safetensors
Transformers
modernbert
lora
dapt
sft

Fix model description and dataset reference

#1
Files changed (1) hide show
  1. README.md +5 -8
README.md CHANGED
@@ -15,26 +15,23 @@ datasets:
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  - heitorrosa/cvm-corpus
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  ---
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- <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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- should probably proofread and complete it, then remove this comment. -->
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-
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  # logun-base
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- This model is a fine-tuned version of [Itau-Unibanco/NorBERTo-base](https://huggingface.co/Itau-Unibanco/NorBERTo-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.4919
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  ## Model description
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- More information needed
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  ## Intended uses & limitations
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- More information needed
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  ## Training and evaluation data
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- More information needed
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  ## Training procedure
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@@ -83,4 +80,4 @@ The following hyperparameters were used during training:
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  - Transformers 5.16.1
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  - Pytorch 2.11.0+cu128
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  - Datasets 4.0.0
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- - Tokenizers 0.23.1
 
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  - heitorrosa/cvm-corpus
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  ---
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  # logun-base
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+ This model is a fine-tuned version of [Itau-Unibanco/NorBERTo-base](https://huggingface.co/Itau-Unibanco/NorBERTo-base) on the `heitorrosa/cvm-corpus` dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.4919
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  ## Model description
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+ This is a LoRA adapter for the NorBERTo-base model, fine-tuned for fill-mask tasks using the CVM corpus.
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  ## Intended uses & limitations
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+ Intended for Portuguese text classification or fill-mask tasks related to the CVM domain. Limitations include the specific domain focus and the small batch size used during training.
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  ## Training and evaluation data
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+ Trained on the `heitorrosa/cvm-corpus` dataset.
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  ## Training procedure
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  - Transformers 5.16.1
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  - Pytorch 2.11.0+cu128
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  - Datasets 4.0.0
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+ - Tokenizers 0.23.1