End of training

README.md

@@ -1,4 +1,5 @@
 ---
+library_name: transformers
 base_model: finiteautomata/bertweet-base-sentiment-analysis
 tags:
 - generated_from_trainer
@@ -17,8 +18,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [finiteautomata/bertweet-base-sentiment-analysis](https://huggingface.co/finiteautomata/bertweet-base-sentiment-analysis) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4095
-- Accuracy: {'accuracy': 1.0}
+- Loss: 0.2377
+- Accuracy: 1.0
 - F1: 1.0
 
 ## Model description
@@ -42,7 +43,7 @@ The following hyperparameters were used during training:
 - train_batch_size: 16
 - eval_batch_size: 16
 - seed: 42
-- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- optimizer: Use OptimizerNames.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: 2
 
@@ -52,7 +53,6 @@ The following hyperparameters were used during training:
 
 ### Framework versions
 
-- Transformers 4.41.2
-- Pytorch 2.3.0+cu121
-- Datasets 2.20.0
-- Tokenizers 0.19.1
+- Transformers 4.48.2
+- Pytorch 2.5.1+cu124
+- Tokenizers 0.21.0

config.json

@@ -23,7 +23,7 @@
   "problem_type": "single_label_classification",
   "tokenizer_class": "BertweetTokenizer",
   "torch_dtype": "float32",
-  "transformers_version": "4.41.2",
+  "transformers_version": "4.48.2",
   "type_vocab_size": 1,
   "use_cache": true,
   "vocab_size": 64001

model.safetensors

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tokenizer_config.json

@@ -42,9 +42,10 @@
     }
   },
   "bos_token": "<s>",
-  "clean_up_tokenization_spaces": true,
+  "clean_up_tokenization_spaces": false,
   "cls_token": "<s>",
   "eos_token": "</s>",
+  "extra_special_tokens": {},
   "ignore_mismatched_sizes": true,
   "mask_token": "<mask>",
   "model_max_length": 128,

training_args.bin

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