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--- |
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base_model: google/flan-t5-base |
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tags: |
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- generated_from_trainer |
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metrics: |
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- rouge |
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model-index: |
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- name: flan-t5-base-trading_candles |
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results: [] |
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datasets: |
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- 0xMaka/trading-candles-subset-qa-format |
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widget: |
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- text: "Context: -30811302.00,464.00,-156202.00,309984.00,276.00,7664.00,4174.00,824467.00,19741.12,19798.04,19860.18,19567.9 Question: identify candle" |
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- text: "Context: 867553.00,-4282049.00,6306.00,4440418.00,13.00,50962.00,101.00,59152496.00,39512.71,39477.49,39512.71,39380.74 Question: identify candle" |
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- text: "Context: -206.00,626162.00,-35917428.00,-49739.00,6669939.00,64.00,19988.00,7094559.00,17752.71,17752.71,17752.71,17752.71 Question: find candle: Four Price Doji" |
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pipeline_tag: text2text-generation |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# flan-t5-base-trading_candles |
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This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on [0xMaka/trading-candles-subset-qa-format](https://huggingface.co/datasets/0xMaka/trading-candles-subset-qa-format) dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0061 |
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- Rouge1: 88.3665 |
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- Rouge2: 86.86 |
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- Rougel: 88.3651 |
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- Rougelsum: 88.3665 |
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- Gen Len: 18.9025 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 3e-05 |
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- train_batch_size: 4 |
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- eval_batch_size: 2 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 3 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | |
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|:-------------:|:-----:|:------:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:| |
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| 0.019 | 1.0 | 70009 | 0.0089 | 88.0774 | 86.4734 | 88.0734 | 88.0748 | 18.9022 | |
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| 0.0095 | 2.0 | 140018 | 0.0069 | 88.3636 | 86.8542 | 88.3612 | 88.3625 | 18.9016 | |
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| 0.0071 | 3.0 | 210027 | 0.0061 | 88.3665 | 86.86 | 88.3651 | 88.3665 | 18.9025 | |
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### Framework versions |
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- Transformers 4.31.0 |
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- Pytorch 2.0.1+cu117 |
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- Datasets 2.13.1 |
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- Tokenizers 0.13.3 |
