tadiecool29/afriberta-stl-base-sentiment

README.md

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+---
+library_name: transformers
+base_model: castorini/afriberta_base
+tags:
+- generated_from_trainer
+metrics:
+- f1
+model-index:
+- name: afriberta-stl-base-sentiment
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# afriberta-stl-base-sentiment
+
+This model is a fine-tuned version of [castorini/afriberta_base](https://huggingface.co/castorini/afriberta_base) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.8213
+- Sentiment Precision: 0.7191
+- Sentiment Recall: 0.7099
+- F1: 0.7111
+- Sentiment Acc: 0.7161
+
+## 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: 1e-05
+- train_batch_size: 16
+- eval_batch_size: 32
+- seed: 42
+- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 300
+- num_epochs: 6
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Sentiment Precision | Sentiment Recall | F1     | Sentiment Acc |
+|:-------------:|:-----:|:----:|:---------------:|:-------------------:|:----------------:|:------:|:-------------:|
+| 0.7579        | 1.0   | 402  | 0.7556          | 0.6904              | 0.6818           | 0.6729 | 0.6845        |
+| 0.6418        | 2.0   | 804  | 0.7293          | 0.6981              | 0.6946           | 0.6945 | 0.7032        |
+| 0.4884        | 3.0   | 1206 | 0.7908          | 0.6974              | 0.6863           | 0.6763 | 0.6933        |
+| 0.3494        | 4.0   | 1608 | 0.8595          | 0.7064              | 0.6959           | 0.6971 | 0.7032        |
+| 0.3035        | 5.0   | 2010 | 0.9201          | 0.7120              | 0.7062           | 0.7074 | 0.7120        |
+| 0.2468        | 6.0   | 2412 | 0.9231          | 0.7012              | 0.6990           | 0.6996 | 0.7057        |
+
+
+### Framework versions
+
+- Transformers 5.15.0
+- Pytorch 2.11.0+cu128
+- Datasets 4.0.0
+- Tokenizers 0.22.2

model.safetensors

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tokenizer_config.json

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+{
+  "add_prefix_space": true,
+  "backend": "tokenizers",
+  "bos_token": "<s>",
+  "cls_token": "<s>",
+  "eos_token": "</s>",
+  "extra_special_tokens": [
+    "<s>",
+    "<pad>",
+    "</s>"
+  ],
+  "is_local": false,
+  "local_files_only": false,
+  "mask_token": "<mask>",
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "<pad>",
+  "sep_token": "</s>",
+  "tokenizer_class": "XLMRobertaTokenizer",
+  "unk_id": 3,
+  "unk_token": "<unk>"
+}

training_args.bin

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