Training complete

README.md

@@ -15,6 +15,13 @@ should probably proofread and complete it, then remove this comment. -->
 # MuRIL_relevance
 
 This model is a fine-tuned version of [google/muril-base-cased](https://huggingface.co/google/muril-base-cased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- eval_loss: 0.6917
+- eval_runtime: 160.9578
+- eval_samples_per_second: 56.22
+- eval_steps_per_second: 0.882
+- epoch: 0.98
+- step: 39
 
 ## Model description
 
@@ -34,21 +41,19 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 5e-05
-- train_batch_size: 16
-- eval_batch_size: 8
+- train_batch_size: 64
+- eval_batch_size: 64
 - seed: 42
+- gradient_accumulation_steps: 32
+- total_train_batch_size: 2048
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 500
-- num_epochs: 5
-
-### Training results
-
-
+- num_epochs: 6
 
 ### Framework versions
 
 - Transformers 4.38.2
 - Pytorch 2.1.2
-- Datasets 2.1.0
+- Datasets 2.15.0
 - Tokenizers 0.15.2

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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