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README.md CHANGED
@@ -14,11 +14,11 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [facebook/mbart-large-cc25](https://huggingface.co/facebook/mbart-large-cc25) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 3.0624
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- - Gen Len: 18.0733
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- - Rouge-1: 39.3253
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- - Rouge-2: 21.9098
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- - Rouge-l: 38.5872
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  ## Model description
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@@ -51,14 +51,16 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Gen Len | Rouge-1 | Rouge-2 | Rouge-l |
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  |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:-------:|
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- | No log | 1.0 | 642 | 3.1848 | 26.2222 | 33.9748 | 18.3088 | 33.4231 |
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- | No log | 2.0 | 1284 | 3.0025 | 20.3911 | 37.1532 | 19.9004 | 36.5443 |
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- | No log | 3.0 | 1926 | 2.9040 | 19.3489 | 39.3585 | 22.1712 | 38.6987 |
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- | No log | 4.0 | 2568 | 2.9437 | 19.2956 | 39.0962 | 21.9264 | 38.3542 |
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- | No log | 5.0 | 3210 | 2.9452 | 17.7667 | 38.377 | 21.3498 | 37.5445 |
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- | No log | 6.0 | 3852 | 2.9731 | 19.7756 | 37.8249 | 21.0556 | 37.3231 |
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- | No log | 7.0 | 4494 | 3.0167 | 18.5222 | 38.291 | 20.6795 | 37.3757 |
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- | 2.8376 | 8.0 | 5136 | 3.0624 | 18.0733 | 39.3253 | 21.9098 | 38.5872 |
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [facebook/mbart-large-cc25](https://huggingface.co/facebook/mbart-large-cc25) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 3.1215
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+ - Gen Len: 17.3533
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+ - Rouge-1: 39.1861
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+ - Rouge-2: 22.0975
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+ - Rouge-l: 38.4014
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Gen Len | Rouge-1 | Rouge-2 | Rouge-l |
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  |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:-------:|
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+ | No log | 1.0 | 642 | 3.3523 | 22.5622 | 28.8044 | 14.6813 | 28.1959 |
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+ | No log | 2.0 | 1284 | 2.9887 | 22.7422 | 36.6353 | 19.681 | 35.9403 |
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+ | No log | 3.0 | 1926 | 2.9367 | 20.0578 | 38.6433 | 21.0943 | 37.9327 |
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+ | No log | 4.0 | 2568 | 2.9503 | 18.5644 | 38.6509 | 21.3031 | 37.8452 |
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+ | No log | 5.0 | 3210 | 2.9366 | 17.1689 | 38.8973 | 21.9518 | 38.3012 |
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+ | No log | 6.0 | 3852 | 2.9782 | 19.2489 | 39.5578 | 22.3324 | 38.9385 |
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+ | No log | 7.0 | 4494 | 3.0080 | 19.0422 | 38.1388 | 21.5059 | 37.4054 |
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+ | 2.8286 | 8.0 | 5136 | 3.0908 | 18.4667 | 38.7921 | 21.3614 | 38.0183 |
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+ | 2.8286 | 9.0 | 5778 | 3.1191 | 18.2978 | 39.3199 | 22.3807 | 38.6943 |
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+ | 2.8286 | 10.0 | 6420 | 3.1215 | 17.3533 | 39.1861 | 22.0975 | 38.4014 |
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  ### Framework versions
mbart-large-cc25_prefix_tuning_12_par_bn_rf_4_hiru_structured_first3/adapter_config.json CHANGED
@@ -4,14 +4,14 @@
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  "configs": [
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  {
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  "architecture": "prefix_tuning",
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- "bottleneck_size": 800,
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  "cross_prefix": true,
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  "dropout": 0.0,
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  "encoder_prefix": true,
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  "flat": false,
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  "leave_out": [],
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  "non_linearity": "tanh",
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- "prefix_length": 12,
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  "shared_gating": true,
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  "use_gating": false
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  },
@@ -49,7 +49,7 @@
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  }
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  ]
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  },
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- "config_id": "566272bc29d5691d",
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  "hidden_size": 1024,
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  "model_class": "MBartForConditionalGeneration",
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  "model_name": "facebook/mbart-large-cc25",
 
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  "configs": [
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  {
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  "architecture": "prefix_tuning",
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+ "bottleneck_size": 1000,
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  "cross_prefix": true,
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  "dropout": 0.0,
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  "encoder_prefix": true,
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  "flat": false,
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  "leave_out": [],
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  "non_linearity": "tanh",
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+ "prefix_length": 15,
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  "shared_gating": true,
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  "use_gating": false
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  },
 
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  }
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  ]
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  },
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+ "config_id": "40d3ac678e297941",
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  "hidden_size": 1024,
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  "model_class": "MBartForConditionalGeneration",
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  "model_name": "facebook/mbart-large-cc25",
mbart-large-cc25_prefix_tuning_12_par_bn_rf_4_hiru_structured_first3/pytorch_adapter.bin CHANGED
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