tadiecool29/ethiollm-stl-LLfinetuned-sentiment

README.md

@@ -0,0 +1,71 @@
+---
+library_name: transformers
+license: mit
+base_model: EthioNLP/EthioLLM-l-70K
+tags:
+- generated_from_trainer
+metrics:
+- f1
+model-index:
+- name: ethiollm-stl-LLfinetuned-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. -->
+
+# ethiollm-stl-LLfinetuned-sentiment
+
+This model is a fine-tuned version of [EthioNLP/EthioLLM-l-70K](https://huggingface.co/EthioNLP/EthioLLM-l-70K) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.8844
+- Sentiment Precision: 0.7140
+- Sentiment Recall: 0.7132
+- F1: 0.7133
+- Sentiment Acc: 0.7182
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:-------------------:|:----------------:|:------:|:-------------:|
+| 0.9854        | 1.0   | 402  | 0.9077          | 0.6241              | 0.6073           | 0.6014 | 0.6010        |
+| 0.7953        | 2.0   | 804  | 0.7370          | 0.6871              | 0.6833           | 0.6843 | 0.6895        |
+| 0.6382        | 3.0   | 1206 | 0.8207          | 0.6923              | 0.6674           | 0.6492 | 0.6771        |
+| 0.4706        | 4.0   | 1608 | 0.7923          | 0.7166              | 0.7063           | 0.7084 | 0.7132        |
+| 0.3507        | 5.0   | 2010 | 0.8754          | 0.7055              | 0.7018           | 0.7028 | 0.7082        |
+| 0.2955        | 6.0   | 2412 | 0.8844          | 0.7140              | 0.7132           | 0.7133 | 0.7182        |
+
+
+### Framework versions
+
+- Transformers 5.15.0
+- Pytorch 2.11.0+cu128
+- Datasets 4.0.0
+- Tokenizers 0.22.2

model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:80b4846b9a527a13c428c4670379b8e9972a4109e35861fd919d5aa38e50c5b8
+size 1502342340

tokenizer_config.json

@@ -0,0 +1,24 @@
+{
+  "add_prefix_space": true,
+  "backend": "tokenizers",
+  "bos_token": "<s>",
+  "clean_up_tokenization_spaces": true,
+  "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>",
+  "sp_model_kwargs": {},
+  "tokenizer_class": "XLMRobertaTokenizer",
+  "unk_id": 3,
+  "unk_token": "<unk>",
+  "use_fast": true
+}

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9424c9012a45b04ae703a5aa2732f4efa44b60d3ef883d24952c0e875ef8677c
+size 5265