Model save

README.md

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+---
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: ViT-Bert_Mimic
+  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. -->
+
+# ViT-Bert_Mimic
+
+This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1692
+- Rouge1: 20.3071
+- Rouge2: 17.0769
+- Rougel: 20.3425
+- Rougelsum: 20.2544
+- Gen Len: 17.62
+
+## 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: 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: 15
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
+| No log        | 1.0   | 250  | 0.1710          | 0.0     | 0.0     | 0.0     | 0.0       | 20.0    |
+| 0.3208        | 2.0   | 500  | 0.1424          | 0.0     | 0.0     | 0.0     | 0.0       | 20.0    |
+| 0.3208        | 3.0   | 750  | 0.1396          | 28.6163 | 23.3316 | 28.7485 | 28.5768   | 15.76   |
+| 0.087         | 4.0   | 1000 | 0.1349          | 15.1174 | 12.3333 | 15.1103 | 15.0938   | 18.16   |
+| 0.087         | 5.0   | 1250 | 0.1373          | 1.5     | 0.6667  | 1.5     | 1.5       | 19.8    |
+| 0.0621        | 6.0   | 1500 | 0.1418          | 29.7634 | 24.3915 | 29.9052 | 29.7154   | 16.0    |
+| 0.0621        | 7.0   | 1750 | 0.1453          | 1.0     | 1.0     | 1.0     | 1.0       | 19.92   |
+| 0.0415        | 8.0   | 2000 | 0.1504          | 6.75    | 5.6667  | 6.75    | 6.75      | 19.22   |
+| 0.0415        | 9.0   | 2250 | 0.1547          | 18.9444 | 16.7436 | 19.1202 | 18.9032   | 18.06   |
+| 0.0254        | 10.0  | 2500 | 0.1591          | 19.2342 | 15.6667 | 19.2782 | 19.1123   | 17.44   |
+| 0.0254        | 11.0  | 2750 | 0.1601          | 19.9154 | 17.3654 | 20.011  | 19.8499   | 17.91   |
+| 0.0147        | 12.0  | 3000 | 0.1647          | 16.9972 | 13.0769 | 16.9972 | 16.9154   | 17.96   |
+| 0.0147        | 13.0  | 3250 | 0.1676          | 22.2859 | 16.9093 | 22.4548 | 22.1609   | 16.66   |
+| 0.0094        | 14.0  | 3500 | 0.1684          | 20.2714 | 16.7308 | 20.4544 | 20.2507   | 17.47   |
+| 0.0094        | 15.0  | 3750 | 0.1692          | 20.3071 | 17.0769 | 20.3425 | 20.2544   | 17.62   |
+
+
+### Framework versions
+
+- Transformers 4.37.1
+- Pytorch 1.13.1+cu117
+- Datasets 2.15.0
+- Tokenizers 0.15.1

generation_config.json

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+{
+  "decoder_start_token_id": 101,
+  "eos_token_id": 102,
+  "pad_token_id": 0,
+  "transformers_version": "4.37.1"
+}

model.safetensors

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 size 898314360

runs/Apr09_09-43-22_fedora/events.out.tfevents.1712627004.fedora.1475234.0

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