Model save

README.md

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+---
+license: apache-2.0
+base_model: t5-base
+tags:
+- generated_from_trainer
+metrics:
+- bleu
+- wer
+model-index:
+- name: 100_randomization_model
+  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. -->
+
+# 100_randomization_model
+
+This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.6576
+- Bleu: 0.0001
+- Wer: 0.9576
+- Rougel: 0.119
+- Gen Len: 18.9986
+
+## 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: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 2
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Bleu   | Wer    | Rougel | Gen Len |
+|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:-------:|
+| 2.5767        | 0.16  | 1000  | 1.6626          | 0.0001 | 0.954  | 0.1251 | 18.9985 |
+| 1.9533        | 0.32  | 2000  | 1.5147          | 0.0001 | 0.9524 | 0.1284 | 18.9986 |
+| 1.8318        | 0.48  | 3000  | 1.4392          | 0.0001 | 0.9518 | 0.1297 | 18.9986 |
+| 1.7626        | 0.64  | 4000  | 1.3857          | 0.0001 | 0.9514 | 0.1306 | 18.9986 |
+| 1.7199        | 0.8   | 5000  | 1.3553          | 0.0001 | 0.951  | 0.1312 | 18.9988 |
+| 1.6727        | 0.96  | 6000  | 1.3325          | 0.0001 | 0.9507 | 0.1319 | 18.9986 |
+| 1.9628        | 1.12  | 7000  | 1.8528          | 0.0001 | 0.9524 | 0.1293 | 18.9988 |
+| 2.9138        | 1.28  | 8000  | 2.6299          | 0.0001 | 0.9568 | 0.1205 | 18.9986 |
+| 3.5506        | 1.44  | 9000  | 2.7483          | 0.0001 | 0.958  | 0.1181 | 18.9987 |
+| 3.5214        | 1.6   | 10000 | 2.7007          | 0.0001 | 0.9578 | 0.1186 | 18.9986 |
+| 3.4669        | 1.76  | 11000 | 2.6699          | 0.0001 | 0.9576 | 0.1189 | 18.9986 |
+| 3.4448        | 1.92  | 12000 | 2.6576          | 0.0001 | 0.9576 | 0.119  | 18.9986 |
+
+
+### Framework versions
+
+- Transformers 4.37.1
+- Pytorch 2.3.0.dev20240122+cu121
+- Datasets 2.16.1
+- Tokenizers 0.15.1

generation_config.json

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+{
+  "decoder_start_token_id": 0,
+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.37.1"
+}

model.safetensors

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+oid sha256:1246d7604cb9a842249df4b5c63922c50a6597cbfb0e18b64404f2b8ba3103d3
 size 891644712