Model save

README.md

@@ -1,5 +1,4 @@
 ---
-base_model: sinonimayzer/roberta-v1
 tags:
 - generated_from_trainer
 model-index:
@@ -12,13 +11,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # roberta-v1
 
-This model is a fine-tuned version of [sinonimayzer/roberta-v1](https://huggingface.co/sinonimayzer/roberta-v1) on the None dataset.
-It achieves the following results on the evaluation set:
-- eval_loss: nan
-- eval_runtime: 4.2753
-- eval_samples_per_second: 106.659
-- eval_steps_per_second: 106.659
-- step: 0
+This model is a fine-tuned version of [](https://huggingface.co/) on the None dataset.
 
 ## Model description
 
@@ -38,12 +31,16 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 5e-05
-- train_batch_size: 8
-- eval_batch_size: 1
+- train_batch_size: 32
+- eval_batch_size: 8
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 3.0
+- num_epochs: 3
+
+### Training results
+
+
 
 ### Framework versions
 

config.json

@@ -1,5 +1,4 @@
 {
-  "_name_or_path": "sinonimayzer/roberta-v1",
   "architectures": [
     "RobertaForMaskedLM"
   ],

model.safetensors

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training_args.bin

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