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drAbreu
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soda-clip-finetuned

Feature Extraction
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Safetensors
vision-text-dual-encoder
Generated from Trainer
Inference Endpoints
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README.md ADDED
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+ ---
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+ tags:
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+ - generated_from_trainer
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+ datasets:
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+ - soda-clip-loader
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+ model-index:
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+ - name: soda-clip-finetuned
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+ results: []
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+ ---
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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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+
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+ # soda-clip-finetuned
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+
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+ This model was trained from scratch on the soda-clip-loader dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 4.8565
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 0.0001
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+ - train_batch_size: 128
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+ - eval_batch_size: 128
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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: 5.0
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:----:|:---------------:|
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+ | 4.8557 | 0.15 | 100 | 4.8520 |
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+ | 4.852 | 0.29 | 200 | 4.8520 |
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+ | 4.8526 | 0.44 | 300 | 4.8522 |
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+ | 4.8521 | 0.59 | 400 | 4.8520 |
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+ | 4.852 | 0.74 | 500 | 4.8520 |
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+ | 4.852 | 0.88 | 600 | 4.8520 |
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+ | 4.852 | 1.03 | 700 | 4.8520 |
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+ | 4.8519 | 1.18 | 800 | 4.8542 |
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+ | 4.8522 | 1.33 | 900 | 4.8520 |
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+ | 4.852 | 1.47 | 1000 | 4.8520 |
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+ | 4.852 | 1.62 | 1100 | 4.8520 |
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+ | 4.852 | 1.77 | 1200 | 4.8520 |
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+ | 4.852 | 1.92 | 1300 | 4.8520 |
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+ | 4.852 | 2.06 | 1400 | 4.8520 |
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+ | 4.852 | 2.21 | 1500 | 4.8520 |
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+ | 4.852 | 2.36 | 1600 | 4.8520 |
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+ | 4.852 | 2.51 | 1700 | 4.8520 |
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+ | 4.852 | 2.65 | 1800 | 4.8520 |
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+ | 4.852 | 2.8 | 1900 | 4.8520 |
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+ | 4.852 | 2.95 | 2000 | 4.8522 |
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+ | 4.852 | 3.1 | 2100 | 4.8521 |
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+ | 4.852 | 3.24 | 2200 | 4.8521 |
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+ | 4.8519 | 3.39 | 2300 | 4.8523 |
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+ | 4.8521 | 3.54 | 2400 | 4.8521 |
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+ | 4.852 | 3.69 | 2500 | 4.8521 |
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+ | 4.8517 | 3.83 | 2600 | 4.8521 |
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+ | 4.852 | 3.98 | 2700 | 4.8520 |
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+ | 4.852 | 4.13 | 2800 | 4.8520 |
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+ | 4.852 | 4.28 | 2900 | 4.8520 |
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+ | 4.852 | 4.42 | 3000 | 4.8520 |
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+ | 4.8519 | 4.57 | 3100 | 4.8523 |
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+ | 4.8515 | 4.72 | 3200 | 4.8528 |
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+ | 4.851 | 4.87 | 3300 | 4.8565 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.37.2
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+ - Pytorch 2.2.0+cu121
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+ - Datasets 2.17.0
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+ - Tokenizers 0.15.2
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