Model save

README.md

@@ -0,0 +1,59 @@
+---
+library_name: transformers
+base_model: delarosajav95/tw-roberta-base-sentiment-FT
+tags:
+- generated_from_trainer
+model-index:
+- name: tw-roberta-base-sentiment-FT
+  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. -->
+
+# tw-roberta-base-sentiment-FT
+
+This model is a fine-tuned version of [delarosajav95/tw-roberta-base-sentiment-FT](https://huggingface.co/delarosajav95/tw-roberta-base-sentiment-FT) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- eval_loss: 0.8834
+- eval_model_preparation_time: 0.0061
+- eval_accuracy: 0.7655
+- eval_precision: 0.7636
+- eval_recall: 0.7655
+- eval_f1: 0.7635
+- eval_runtime: 24.6425
+- eval_samples_per_second: 211.261
+- eval_steps_per_second: 13.229
+- step: 0
+
+## 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: 2e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 8
+
+### Framework versions
+
+- Transformers 4.47.0
+- Pytorch 2.5.1+cu121
+- Datasets 3.2.0
+- Tokenizers 0.21.0

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "cardiffnlp/twitter-roberta-base-sentiment",
+  "_name_or_path": "delarosajav95/tw-roberta-base-sentiment-FT",
   "architectures": [
     "RobertaForSequenceClassification"
   ],

events.out.tfevents.1733857556.31bbeff60f91.1030.0

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:216fe5e0f007c905c299a8aa4bedc3cd912714a74fd0fe38e00e98b8f5edc2d7
+size 549