End of training

README.md

@@ -0,0 +1,56 @@
+---
+license: mit
+base_model: microsoft/deberta-large
+tags:
+- generated_from_trainer
+model-index:
+- name: deberta-large-finetuned-squad-v2
+  results: []
+---
+
+<!-- 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. -->
+
+# deberta-large-finetuned-squad-v2
+
+This model is a fine-tuned version of [microsoft/deberta-large](https://huggingface.co/microsoft/deberta-large) on an unknown dataset.
+
+## 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: 64
+- eval_batch_size: 64
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 256
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 164.7475
+- num_epochs: 1
+- mixed_precision_training: Native AMP
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.38.2
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

model.safetensors

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tokenizer.json

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   "version": "1.0",
   "truncation": {
     "direction": "Right",
-    "max_length": 384,
-    "strategy": "OnlySecond",
-    "stride": 128
+    "max_length": 512,
+    "strategy": "LongestFirst",
+    "stride": 0
   },
   "padding": {
     "strategy": {
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+      "Fixed": 512
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     "direction": "Right",
     "pad_to_multiple_of": null,