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Rzoro
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checkpoints_3_12

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deberta-v2
Generated from Trainer
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  1. README.md +27 -29
  2. pytorch_model.bin +1 -1
README.md CHANGED
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  ---
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- license: mit
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- base_model: microsoft/deberta-v3-large
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  tags:
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  - generated_from_trainer
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  model-index:
@@ -13,10 +11,10 @@ should probably proofread and complete it, then remove this comment. -->
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  # checkpoints_3_12
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- This model is a fine-tuned version of [microsoft/deberta-v3-large](https://huggingface.co/microsoft/deberta-v3-large) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.9977
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- - Map@3: 0.7303
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  ## Model description
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@@ -35,7 +33,7 @@ More information needed
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  ### Training hyperparameters
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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: 1
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  - eval_batch_size: 1
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  - seed: 0
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  | Training Loss | Epoch | Step | Validation Loss | Map@3 |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|
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- | 1.6031 | 0.04 | 200 | 1.3487 | 0.6587 |
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- | 1.5042 | 0.08 | 400 | 1.2233 | 0.6620 |
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- | 1.4276 | 0.13 | 600 | 1.2073 | 0.6857 |
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- | 1.3488 | 0.17 | 800 | 1.1651 | 0.6857 |
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- | 1.3509 | 0.21 | 1000 | 1.1356 | 0.6982 |
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- | 1.3164 | 0.25 | 1200 | 1.1142 | 0.7017 |
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- | 1.3237 | 0.29 | 1400 | 1.0661 | 0.7027 |
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- | 1.2723 | 0.34 | 1600 | 1.0683 | 0.7225 |
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- | 1.2762 | 0.38 | 1800 | 1.0722 | 0.7098 |
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- | 1.298 | 0.42 | 2000 | 1.0303 | 0.7215 |
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- | 1.256 | 0.46 | 2200 | 1.0969 | 0.7165 |
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- | 1.2629 | 0.51 | 2400 | 1.0432 | 0.7193 |
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- | 1.2527 | 0.55 | 2600 | 1.0621 | 0.7220 |
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- | 1.1922 | 0.59 | 2800 | 1.0131 | 0.7270 |
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- | 1.2399 | 0.63 | 3000 | 1.0079 | 0.7297 |
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- | 1.2404 | 0.67 | 3200 | 1.0044 | 0.7292 |
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- | 1.24 | 0.72 | 3400 | 1.0515 | 0.7263 |
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- | 1.216 | 0.76 | 3600 | 1.0160 | 0.7233 |
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- | 1.1973 | 0.8 | 3800 | 1.0072 | 0.7323 |
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- | 1.2339 | 0.84 | 4000 | 1.0013 | 0.7318 |
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- | 1.2114 | 0.88 | 4200 | 1.0025 | 0.7272 |
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- | 1.2262 | 0.93 | 4400 | 0.9980 | 0.7297 |
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- | 1.2621 | 0.97 | 4600 | 0.9977 | 0.7303 |
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  ### Framework versions
 
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  ---
 
 
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  tags:
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  - generated_from_trainer
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  model-index:
 
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  # checkpoints_3_12
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+ This model was trained from scratch on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.0095
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+ - Map@3: 0.7278
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 1e-05
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  - train_batch_size: 1
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  - eval_batch_size: 1
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  - seed: 0
 
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  | Training Loss | Epoch | Step | Validation Loss | Map@3 |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|
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+ | 1.2279 | 0.04 | 200 | 1.0085 | 0.7305 |
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+ | 1.2068 | 0.08 | 400 | 1.0804 | 0.7313 |
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+ | 1.1809 | 0.13 | 600 | 1.0225 | 0.7302 |
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+ | 1.0666 | 0.17 | 800 | 1.2032 | 0.7248 |
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+ | 1.0671 | 0.21 | 1000 | 1.0308 | 0.7243 |
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+ | 1.0396 | 0.25 | 1200 | 1.0818 | 0.7183 |
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+ | 1.0183 | 0.29 | 1400 | 1.1960 | 0.7205 |
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+ | 0.9193 | 0.34 | 1600 | 1.2615 | 0.7072 |
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+ | 0.9277 | 0.38 | 1800 | 1.1993 | 0.7230 |
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+ | 0.9777 | 0.42 | 2000 | 1.2120 | 0.7203 |
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+ | 0.9021 | 0.46 | 2200 | 1.4372 | 0.7208 |
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+ | 0.9538 | 0.51 | 2400 | 1.1713 | 0.7167 |
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+ | 0.9536 | 0.55 | 2600 | 1.2319 | 0.7225 |
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+ | 0.8825 | 0.59 | 2800 | 1.1445 | 0.7257 |
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+ | 0.9923 | 0.63 | 3000 | 1.0981 | 0.7195 |
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+ | 1.0443 | 0.67 | 3200 | 1.0991 | 0.7268 |
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+ | 1.0926 | 0.72 | 3400 | 1.1384 | 0.7332 |
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+ | 1.1126 | 0.76 | 3600 | 1.0627 | 0.7287 |
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+ | 1.1415 | 0.8 | 3800 | 1.0397 | 0.7317 |
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+ | 1.2765 | 0.84 | 4000 | 1.0114 | 0.7285 |
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+ | 1.2241 | 0.88 | 4200 | 1.0126 | 0.7295 |
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+ | 1.2353 | 0.93 | 4400 | 1.0098 | 0.7278 |
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+ | 1.275 | 0.97 | 4600 | 1.0095 | 0.7278 |
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  ### Framework versions
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