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Lora_long_T5_sum_challenge

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  1. README.md +24 -24
  2. adapter_config.json +3 -3
  3. adapter_model.safetensors +1 -1
  4. runs/Jul28_13-14-58_tardis/events.out.tfevents.1753701300.tardis.3378.0 +3 -0
  5. training_args.bin +1 -1
README.md CHANGED
@@ -22,21 +22,21 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [google/long-t5-tglobal-base](https://huggingface.co/google/long-t5-tglobal-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 2.6427
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- - Rouge1: 0.2211
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- - Rouge2: 0.0523
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- - Rougel: 0.1666
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- - Rougelsum: 0.1668
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- - Gen Len: 29.68
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- - Bleu: 0.0197
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- - Precisions: 0.062
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- - Brevity Penalty: 0.9101
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- - Length Ratio: 0.9139
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- - Translation Length: 1104.0
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  - Reference Length: 1208.0
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- - Precision: 0.8492
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- - Recall: 0.8557
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- - F1: 0.8523
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  - Hashcode: roberta-large_L17_no-idf_version=0.3.12(hug_trans=4.53.1)
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  ## Model description
@@ -70,16 +70,16 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | Bleu | Precisions | Brevity Penalty | Length Ratio | Translation Length | Reference Length | Precision | Recall | F1 | Hashcode |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|:------:|:----------:|:---------------:|:------------:|:------------------:|:----------------:|:---------:|:------:|:------:|:---------------------------------------------------------:|
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- | 25.0804 | 1.0 | 7 | 21.1813 | 0.1712 | 0.0314 | 0.1274 | 0.1274 | 30.9 | 0.0116 | 0.0421 | 0.9315 | 0.9338 | 1128.0 | 1208.0 | 0.8394 | 0.8498 | 0.8445 | roberta-large_L17_no-idf_version=0.3.12(hug_trans=4.53.1) |
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- | 14.6122 | 2.0 | 14 | 5.6557 | 0.0084 | 0.0016 | 0.0082 | 0.0085 | 31.0 | 0.0 | 0.0052 | 0.2987 | 0.4528 | 547.0 | 1208.0 | 0.7027 | 0.8098 | 0.7521 | roberta-large_L17_no-idf_version=0.3.12(hug_trans=4.53.1) |
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- | 5.5958 | 3.0 | 21 | 4.8170 | 0.1641 | 0.025 | 0.1296 | 0.13 | 30.84 | 0.0101 | 0.0395 | 0.8631 | 0.8717 | 1053.0 | 1208.0 | 0.8368 | 0.8443 | 0.8405 | roberta-large_L17_no-idf_version=0.3.12(hug_trans=4.53.1) |
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- | 4.4566 | 4.0 | 28 | 4.0192 | 0.1641 | 0.0334 | 0.1356 | 0.136 | 30.76 | 0.0106 | 0.0402 | 0.8956 | 0.9007 | 1088.0 | 1208.0 | 0.831 | 0.8458 | 0.8382 | roberta-large_L17_no-idf_version=0.3.12(hug_trans=4.53.1) |
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- | 3.8178 | 5.0 | 35 | 3.5994 | 0.1843 | 0.038 | 0.1413 | 0.1419 | 30.82 | 0.0132 | 0.0501 | 0.9253 | 0.928 | 1121.0 | 1208.0 | 0.8396 | 0.8509 | 0.8452 | roberta-large_L17_no-idf_version=0.3.12(hug_trans=4.53.1) |
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- | 3.4861 | 6.0 | 42 | 3.4108 | 0.2084 | 0.0476 | 0.1602 | 0.1607 | 30.12 | 0.0186 | 0.0569 | 0.9146 | 0.918 | 1109.0 | 1208.0 | 0.8452 | 0.8542 | 0.8496 | roberta-large_L17_no-idf_version=0.3.12(hug_trans=4.53.1) |
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- | 3.2709 | 7.0 | 49 | 3.2041 | 0.2194 | 0.0546 | 0.1702 | 0.1708 | 29.98 | 0.0199 | 0.0618 | 0.8983 | 0.9031 | 1091.0 | 1208.0 | 0.8486 | 0.8563 | 0.8524 | roberta-large_L17_no-idf_version=0.3.12(hug_trans=4.53.1) |
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- | 3.0626 | 8.0 | 56 | 2.9598 | 0.2213 | 0.0524 | 0.1649 | 0.1651 | 29.84 | 0.0226 | 0.0627 | 0.9101 | 0.9139 | 1104.0 | 1208.0 | 0.8475 | 0.8551 | 0.8512 | roberta-large_L17_no-idf_version=0.3.12(hug_trans=4.53.1) |
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- | 2.875 | 9.0 | 63 | 2.7419 | 0.222 | 0.053 | 0.1657 | 0.1657 | 29.78 | 0.0228 | 0.0633 | 0.9119 | 0.9156 | 1106.0 | 1208.0 | 0.8486 | 0.8558 | 0.8521 | roberta-large_L17_no-idf_version=0.3.12(hug_trans=4.53.1) |
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- | 2.749 | 10.0 | 70 | 2.6427 | 0.2211 | 0.0523 | 0.1666 | 0.1668 | 29.68 | 0.0197 | 0.062 | 0.9101 | 0.9139 | 1104.0 | 1208.0 | 0.8492 | 0.8557 | 0.8523 | roberta-large_L17_no-idf_version=0.3.12(hug_trans=4.53.1) |
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  ### Framework versions
 
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  This model is a fine-tuned version of [google/long-t5-tglobal-base](https://huggingface.co/google/long-t5-tglobal-base) on an unknown dataset.
24
  It achieves the following results on the evaluation set:
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+ - Loss: 2.5549
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+ - Rouge1: 0.2119
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+ - Rouge2: 0.0501
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+ - Rougel: 0.1629
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+ - Rougelsum: 0.1634
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+ - Gen Len: 29.52
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+ - Bleu: 0.0187
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+ - Precisions: 0.0592
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+ - Brevity Penalty: 0.9137
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+ - Length Ratio: 0.9172
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+ - Translation Length: 1108.0
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  - Reference Length: 1208.0
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+ - Precision: 0.8484
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+ - Recall: 0.8543
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+ - F1: 0.8513
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  - Hashcode: roberta-large_L17_no-idf_version=0.3.12(hug_trans=4.53.1)
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  ## Model description
 
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  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | Bleu | Precisions | Brevity Penalty | Length Ratio | Translation Length | Reference Length | Precision | Recall | F1 | Hashcode |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|:------:|:----------:|:---------------:|:------------:|:------------------:|:----------------:|:---------:|:------:|:------:|:---------------------------------------------------------:|
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+ | 25.3187 | 1.0 | 7 | 21.7613 | 0.1761 | 0.0329 | 0.1284 | 0.1286 | 30.9 | 0.0122 | 0.0432 | 0.9333 | 0.9354 | 1130.0 | 1208.0 | 0.8387 | 0.8501 | 0.8443 | roberta-large_L17_no-idf_version=0.3.12(hug_trans=4.53.1) |
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+ | 15.331 | 2.0 | 14 | 5.3421 | 0.043 | 0.0097 | 0.0389 | 0.039 | 30.88 | 0.0 | 0.02 | 0.408 | 0.5273 | 637.0 | 1208.0 | 0.7369 | 0.818 | 0.7744 | roberta-large_L17_no-idf_version=0.3.12(hug_trans=4.53.1) |
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+ | 5.4959 | 3.0 | 21 | 4.6619 | 0.152 | 0.0198 | 0.1175 | 0.1179 | 30.66 | 0.0 | 0.0365 | 0.8697 | 0.8775 | 1060.0 | 1208.0 | 0.8309 | 0.8452 | 0.8379 | roberta-large_L17_no-idf_version=0.3.12(hug_trans=4.53.1) |
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+ | 4.3485 | 4.0 | 28 | 3.9824 | 0.1785 | 0.0373 | 0.1428 | 0.1425 | 30.1 | 0.0124 | 0.0475 | 0.8937 | 0.899 | 1086.0 | 1208.0 | 0.8338 | 0.8482 | 0.8408 | roberta-large_L17_no-idf_version=0.3.12(hug_trans=4.53.1) |
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+ | 3.7645 | 5.0 | 35 | 3.5558 | 0.1881 | 0.0385 | 0.1489 | 0.1484 | 29.78 | 0.0132 | 0.0506 | 0.9182 | 0.9214 | 1113.0 | 1208.0 | 0.8463 | 0.8533 | 0.8497 | roberta-large_L17_no-idf_version=0.3.12(hug_trans=4.53.1) |
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+ | 3.4345 | 6.0 | 42 | 3.3686 | 0.1986 | 0.0426 | 0.1524 | 0.1525 | 30.7 | 0.0177 | 0.0523 | 0.9315 | 0.9338 | 1128.0 | 1208.0 | 0.8434 | 0.8532 | 0.8482 | roberta-large_L17_no-idf_version=0.3.12(hug_trans=4.53.1) |
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+ | 3.2147 | 7.0 | 49 | 3.1500 | 0.1973 | 0.0412 | 0.1555 | 0.1563 | 30.1 | 0.0166 | 0.0532 | 0.9137 | 0.9172 | 1108.0 | 1208.0 | 0.8454 | 0.8526 | 0.8489 | roberta-large_L17_no-idf_version=0.3.12(hug_trans=4.53.1) |
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+ | 3.0107 | 8.0 | 56 | 2.8957 | 0.2008 | 0.0464 | 0.1574 | 0.1575 | 29.84 | 0.0174 | 0.0567 | 0.901 | 0.9056 | 1094.0 | 1208.0 | 0.847 | 0.8528 | 0.8498 | roberta-large_L17_no-idf_version=0.3.12(hug_trans=4.53.1) |
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+ | 2.8102 | 9.0 | 63 | 2.6612 | 0.2108 | 0.0484 | 0.1629 | 0.1636 | 29.62 | 0.0182 | 0.0582 | 0.9155 | 0.9189 | 1110.0 | 1208.0 | 0.8482 | 0.854 | 0.851 | roberta-large_L17_no-idf_version=0.3.12(hug_trans=4.53.1) |
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+ | 2.6845 | 10.0 | 70 | 2.5549 | 0.2119 | 0.0501 | 0.1629 | 0.1634 | 29.52 | 0.0187 | 0.0592 | 0.9137 | 0.9172 | 1108.0 | 1208.0 | 0.8484 | 0.8543 | 0.8513 | roberta-large_L17_no-idf_version=0.3.12(hug_trans=4.53.1) |
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  ### Framework versions
adapter_config.json CHANGED
@@ -24,10 +24,10 @@
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  "rank_pattern": {},
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  "revision": null,
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  "target_modules": [
 
 
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  "k",
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+ "q",
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+ "o"
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  "task_type": "SEQ_2_SEQ_LM",
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