End of training

README.md

@@ -3,6 +3,8 @@ license: apache-2.0
 base_model: distilbert-base-uncased
 tags:
 - generated_from_trainer
+metrics:
+- accuracy
 model-index:
 - name: distilbert-base-uncased-finetuned-voxi-mnli
   results: []
@@ -14,6 +16,9 @@ should probably proofread and complete it, then remove this comment. -->
 # distilbert-base-uncased-finetuned-voxi-mnli
 
 This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.7452
+- Accuracy: 0.8208
 
 ## Model description
 
@@ -33,13 +38,13 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 5e-05
-- train_batch_size: 32
-- eval_batch_size: 32
+- train_batch_size: 64
+- eval_batch_size: 64
 - seed: 42
 - distributed_type: multi-GPU
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 1
+- num_epochs: 5
 - mixed_precision_training: Native AMP
 
 ### Training results
@@ -48,7 +53,7 @@ The following hyperparameters were used during training:
 
 ### Framework versions
 
-- Transformers 4.40.2
-- Pytorch 2.3.0+cu121
+- Transformers 4.41.2
+- Pytorch 2.3.1+cu121
 - Datasets 2.19.1
 - Tokenizers 0.19.0

config.json

@@ -30,6 +30,6 @@
   "sinusoidal_pos_embds": false,
   "tie_weights_": true,
   "torch_dtype": "float32",
-  "transformers_version": "4.40.2",
+  "transformers_version": "4.41.2",
   "vocab_size": 30522
 }

model.safetensors

@@ -1,3 +1,3 @@
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training_args.bin

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