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shreyahegde
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video_prompt_generation

Text2Text Generation
Transformers
TensorBoard
Safetensors
t5
Generated from Trainer
text-generation-inference
Inference Endpoints
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shreyahegde commited on
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End of training

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Files changed (4) hide show
  1. README.md +12 -12
  2. model.safetensors +1 -1
  3. runs/May12_10-43-15_3a401b82d9a7/events.out.tfevents.1715510596.3a401b82d9a7.15248.0 +3 -0
  4. training_args.bin +1 -1
README.md CHANGED
@@ -17,7 +17,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.6719
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  - Rouge1: 0.0
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  - Rouge2: 0.0
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  - Rougel: 0.0
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  The following hyperparameters were used during training:
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  - learning_rate: 2e-05
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- - train_batch_size: 2
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  - eval_batch_size: 4
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
@@ -54,16 +54,16 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
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- | No log | 1.0 | 24 | 1.1130 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
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- | No log | 2.0 | 48 | 0.9773 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
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- | No log | 3.0 | 72 | 0.8423 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
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- | No log | 4.0 | 96 | 0.7615 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
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- | No log | 5.0 | 120 | 0.7240 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
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- | No log | 6.0 | 144 | 0.7030 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
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- | No log | 7.0 | 168 | 0.6861 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
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- | No log | 8.0 | 192 | 0.6793 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
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- | No log | 9.0 | 216 | 0.6744 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
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- | No log | 10.0 | 240 | 0.6719 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.1494
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  - Rouge1: 0.0
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  - Rouge2: 0.0
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  - Rougel: 0.0
 
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  The following hyperparameters were used during training:
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  - learning_rate: 2e-05
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+ - train_batch_size: 4
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  - eval_batch_size: 4
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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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  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
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+ | No log | 1.0 | 12 | 9.1895 | 0.035 | 0.0027 | 0.032 | 0.0319 | 5.75 |
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+ | No log | 2.0 | 24 | 5.4070 | 0.0319 | 0.0 | 0.0291 | 0.0292 | 5.75 |
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+ | No log | 3.0 | 36 | 2.9765 | 0.0255 | 0.0 | 0.0228 | 0.0227 | 4.3333 |
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+ | No log | 4.0 | 48 | 1.6960 | 0.0117 | 0.0 | 0.0117 | 0.0117 | 1.5 |
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+ | No log | 5.0 | 60 | 1.3199 | 0.0029 | 0.0 | 0.0029 | 0.0029 | 0.6667 |
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+ | No log | 6.0 | 72 | 1.2154 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
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+ | No log | 7.0 | 84 | 1.1874 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
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+ | No log | 8.0 | 96 | 1.1794 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
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+ | No log | 9.0 | 108 | 1.1652 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
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+ | No log | 10.0 | 120 | 1.1494 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
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  ### Framework versions
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