Model save

README.md

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+---
+license: apache-2.0
+base_model: t5-base
+tags:
+- generated_from_trainer
+datasets:
+- arrow
+model-index:
+- name: text-to-sparql-t5-base-2024-09-01_11-28
+  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. -->
+
+[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/padole/huggingface/runs/ca910scu)
+# text-to-sparql-t5-base-2024-09-01_11-28
+
+This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the arrow dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1292
+- Gen Len: 19.0
+- Bertscorer-p: 0.6002
+- Bertscorer-r: 0.1065
+- Bertscorer-f1: 0.3419
+- Sacrebleu-score: 6.1640
+- Sacrebleu-precisions: [92.31534063748829, 84.93160766667017, 79.6643621245387, 75.5827850229174]
+- Bleu-bp: 0.0744
+
+## 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: 0.0003
+- 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: 1
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Gen Len | Bertscorer-p | Bertscorer-r | Bertscorer-f1 | Sacrebleu-score | Sacrebleu-precisions                                                       | Bleu-bp |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:------------:|:------------:|:-------------:|:---------------:|:--------------------------------------------------------------------------:|:-------:|
+| 0.1458        | 1.0   | 4772 | 0.1292          | 19.0    | 0.6002       | 0.1065       | 0.3419        | 6.1640          | [92.31534063748829, 84.93160766667017, 79.6643621245387, 75.5827850229174] | 0.0744  |
+
+
+### Framework versions
+
+- Transformers 4.42.4
+- Pytorch 2.4.0+cu121
+- Datasets 2.21.0
+- Tokenizers 0.19.1

generation_config.json

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+{
+  "decoder_start_token_id": 0,
+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.42.4"
+}

runs/Sep01_12-08-26_0e9e15d41611/events.out.tfevents.1725192550.0e9e15d41611.509.0

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