Final trained model after 6 epochs

.gitignore

@@ -7,4 +7,7 @@
 /scheduler.pt
 /optimizer.pt
 /checkpoint-230500-loss-1.2531
-/checkpoint-263500-loss-1.2217
+/checkpoint-263500-loss-1.2217
+
+checkpoint-300500/
+tmp/

README.md

@@ -0,0 +1,72 @@
+---
+tags:
+- generated_from_trainer
+datasets:
+- dataset/wiki_oscar_combined_normalized_uncased
+metrics:
+- accuracy
+model-index:
+- name: greek-longformer-base-4096-uncased
+  results:
+  - task:
+      name: Masked Language Modeling
+      type: fill-mask
+    dataset:
+      name: dataset/wiki_oscar_combined_normalized_uncased
+      type: dataset/wiki_oscar_combined_normalized_uncased
+      config: null
+      split: None
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.7765486725663717
+---
+
+<!-- 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. -->
+
+# greek-longformer-base-4096-uncased
+
+This model is a fine-tuned version of [](https://huggingface.co/) on the dataset/wiki_oscar_combined_normalized_uncased dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.1080
+- Accuracy: 0.7765
+
+## 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: 5e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 64
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 6.0
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.28.0.dev0
+- Pytorch 2.0.0+cu118
+- Datasets 2.11.0
+- Tokenizers 0.13.2

pytorch_model.bin

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