Model save

README.md

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+---
+license: apache-2.0
+base_model: distilbert-base-cased-distilled-squad
+tags:
+- generated_from_trainer
+model-index:
+- name: distilbert-base-cased-distilled-squad-231123
+  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. -->
+
+# distilbert-base-cased-distilled-squad-231123
+
+This model is a fine-tuned version of [distilbert-base-cased-distilled-squad](https://huggingface.co/distilbert-base-cased-distilled-squad) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.5134
+
+## 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: 2e-05
+- train_batch_size: 4
+- eval_batch_size: 4
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| No log        | 1.0   | 232  | 1.9711          |
+| No log        | 2.0   | 464  | 1.9990          |
+| 1.843         | 3.0   | 696  | 2.1236          |
+| 1.843         | 4.0   | 928  | 2.3468          |
+| 0.9414        | 5.0   | 1160 | 2.5134          |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.16.1
+- Tokenizers 0.15.0

model.safetensors

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