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: 50pos_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. -->
+
+# 50pos_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: 1.4089
+- Bleu: 0.0001
+- Wer: 0.9459
+- Rougel: 0.1326
+- Gen Len: 18.9987
+
+## 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 |
+|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:-------:|
+| 2.191         | 0.16  | 1000  | 1.3669          | 0.0001 | 0.9468 | 0.1309 | 18.999  |
+| 1.5151        | 0.32  | 2000  | 1.2748          | 0.0001 | 0.9458 | 0.1327 | 18.9987 |
+| 1.6193        | 0.48  | 3000  | 1.4301          | 0.0001 | 0.9457 | 0.133  | 18.9986 |
+| 1.7458        | 0.64  | 4000  | 1.4091          | 0.0001 | 0.9459 | 0.1326 | 18.9986 |
+| 1.7281        | 0.8   | 5000  | 1.4088          | 0.0001 | 0.9459 | 0.1326 | 18.9986 |
+| 1.7255        | 0.96  | 6000  | 1.4089          | 0.0001 | 0.9459 | 0.1326 | 18.9986 |
+| 1.7297        | 1.12  | 7000  | 1.4089          | 0.0001 | 0.9459 | 0.1326 | 18.9987 |
+| 1.7197        | 1.28  | 8000  | 1.4089          | 0.0001 | 0.9459 | 0.1326 | 18.9987 |
+| 1.7287        | 1.44  | 9000  | 1.4088          | 0.0001 | 0.9459 | 0.1326 | 18.9986 |
+| 1.7253        | 1.6   | 10000 | 1.4088          | 0.0001 | 0.9459 | 0.1326 | 18.9987 |
+| 1.7189        | 1.76  | 11000 | 1.4089          | 0.0001 | 0.9459 | 0.1326 | 18.9987 |
+| 1.7257        | 1.92  | 12000 | 1.4089          | 0.0001 | 0.9459 | 0.1326 | 18.9987 |
+
+
+### 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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 size 891644712