update model card README.md
Browse files
README.md
ADDED
|
@@ -0,0 +1,162 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
license: apache-2.0
|
| 3 |
+
tags:
|
| 4 |
+
- generated_from_trainer
|
| 5 |
+
metrics:
|
| 6 |
+
- rouge
|
| 7 |
+
model-index:
|
| 8 |
+
- name: my_text_gen_model
|
| 9 |
+
results: []
|
| 10 |
+
---
|
| 11 |
+
|
| 12 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 13 |
+
should probably proofread and complete it, then remove this comment. -->
|
| 14 |
+
|
| 15 |
+
# my_text_gen_model
|
| 16 |
+
|
| 17 |
+
This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on the None dataset.
|
| 18 |
+
It achieves the following results on the evaluation set:
|
| 19 |
+
- Loss: 0.0000
|
| 20 |
+
- Rouge1: 0.395
|
| 21 |
+
- Rouge2: 0.376
|
| 22 |
+
- Rougel: 0.3954
|
| 23 |
+
- Rougelsum: 0.3949
|
| 24 |
+
- Gen Len: 18.0
|
| 25 |
+
|
| 26 |
+
## Model description
|
| 27 |
+
|
| 28 |
+
More information needed
|
| 29 |
+
|
| 30 |
+
## Intended uses & limitations
|
| 31 |
+
|
| 32 |
+
More information needed
|
| 33 |
+
|
| 34 |
+
## Training and evaluation data
|
| 35 |
+
|
| 36 |
+
More information needed
|
| 37 |
+
|
| 38 |
+
## Training procedure
|
| 39 |
+
|
| 40 |
+
### Training hyperparameters
|
| 41 |
+
|
| 42 |
+
The following hyperparameters were used during training:
|
| 43 |
+
- learning_rate: 2e-05
|
| 44 |
+
- train_batch_size: 4
|
| 45 |
+
- eval_batch_size: 4
|
| 46 |
+
- seed: 42
|
| 47 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 48 |
+
- lr_scheduler_type: linear
|
| 49 |
+
- num_epochs: 100
|
| 50 |
+
|
| 51 |
+
### Training results
|
| 52 |
+
|
| 53 |
+
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|
| 54 |
+
|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
|
| 55 |
+
| No log | 1.0 | 202 | 0.0000 | 0.395 | 0.376 | 0.3954 | 0.3949 | 18.0 |
|
| 56 |
+
| No log | 2.0 | 404 | 0.0000 | 0.395 | 0.376 | 0.3954 | 0.3949 | 18.0 |
|
| 57 |
+
| 0.008 | 3.0 | 606 | 0.0000 | 0.395 | 0.376 | 0.3954 | 0.3949 | 18.0 |
|
| 58 |
+
| 0.008 | 4.0 | 808 | 0.0000 | 0.395 | 0.376 | 0.3954 | 0.3949 | 18.0 |
|
| 59 |
+
| 0.0042 | 5.0 | 1010 | 0.0000 | 0.395 | 0.376 | 0.3954 | 0.3949 | 18.0 |
|
| 60 |
+
| 0.0042 | 6.0 | 1212 | 0.0000 | 0.395 | 0.376 | 0.3954 | 0.3949 | 18.0 |
|
| 61 |
+
| 0.0042 | 7.0 | 1414 | 0.0000 | 0.395 | 0.376 | 0.3954 | 0.3949 | 18.0 |
|
| 62 |
+
| 0.0022 | 8.0 | 1616 | 0.0000 | 0.395 | 0.376 | 0.3954 | 0.3949 | 18.0 |
|
| 63 |
+
| 0.0022 | 9.0 | 1818 | 0.0000 | 0.395 | 0.376 | 0.3954 | 0.3949 | 18.0 |
|
| 64 |
+
| 0.004 | 10.0 | 2020 | 0.0000 | 0.395 | 0.376 | 0.3954 | 0.3949 | 18.0 |
|
| 65 |
+
| 0.004 | 11.0 | 2222 | 0.0000 | 0.395 | 0.376 | 0.3954 | 0.3949 | 18.0 |
|
| 66 |
+
| 0.004 | 12.0 | 2424 | 0.0000 | 0.395 | 0.376 | 0.3954 | 0.3949 | 18.0 |
|
| 67 |
+
| 0.0025 | 13.0 | 2626 | 0.0000 | 0.395 | 0.376 | 0.3954 | 0.3949 | 18.0 |
|
| 68 |
+
| 0.0025 | 14.0 | 2828 | 0.0000 | 0.395 | 0.376 | 0.3954 | 0.3949 | 18.0 |
|
| 69 |
+
| 0.0016 | 15.0 | 3030 | 0.0000 | 0.395 | 0.376 | 0.3954 | 0.3949 | 18.0 |
|
| 70 |
+
| 0.0016 | 16.0 | 3232 | 0.0000 | 0.395 | 0.376 | 0.3954 | 0.3949 | 18.0 |
|
| 71 |
+
| 0.0016 | 17.0 | 3434 | 0.0000 | 0.395 | 0.376 | 0.3954 | 0.3949 | 18.0 |
|
| 72 |
+
| 0.0019 | 18.0 | 3636 | 0.0000 | 0.395 | 0.376 | 0.3954 | 0.3949 | 18.0 |
|
| 73 |
+
| 0.0019 | 19.0 | 3838 | 0.0000 | 0.395 | 0.376 | 0.3954 | 0.3949 | 18.0 |
|
| 74 |
+
| 0.0019 | 20.0 | 4040 | 0.0000 | 0.395 | 0.376 | 0.3954 | 0.3949 | 18.0 |
|
| 75 |
+
| 0.0019 | 21.0 | 4242 | 0.0000 | 0.395 | 0.376 | 0.3954 | 0.3949 | 18.0 |
|
| 76 |
+
| 0.0019 | 22.0 | 4444 | 0.0000 | 0.395 | 0.376 | 0.3954 | 0.3949 | 18.0 |
|
| 77 |
+
| 0.0012 | 23.0 | 4646 | 0.0000 | 0.395 | 0.376 | 0.3954 | 0.3949 | 18.0 |
|
| 78 |
+
| 0.0012 | 24.0 | 4848 | 0.0000 | 0.395 | 0.376 | 0.3954 | 0.3949 | 18.0 |
|
| 79 |
+
| 0.0013 | 25.0 | 5050 | 0.0000 | 0.395 | 0.376 | 0.3954 | 0.3949 | 18.0 |
|
| 80 |
+
| 0.0013 | 26.0 | 5252 | 0.0000 | 0.395 | 0.376 | 0.3954 | 0.3949 | 18.0 |
|
| 81 |
+
| 0.0013 | 27.0 | 5454 | 0.0000 | 0.395 | 0.376 | 0.3954 | 0.3949 | 18.0 |
|
| 82 |
+
| 0.0012 | 28.0 | 5656 | 0.0000 | 0.395 | 0.376 | 0.3954 | 0.3949 | 18.0 |
|
| 83 |
+
| 0.0012 | 29.0 | 5858 | 0.0000 | 0.395 | 0.376 | 0.3954 | 0.3949 | 18.0 |
|
| 84 |
+
| 0.0015 | 30.0 | 6060 | 0.0000 | 0.395 | 0.376 | 0.3954 | 0.3949 | 18.0 |
|
| 85 |
+
| 0.0015 | 31.0 | 6262 | 0.0000 | 0.395 | 0.376 | 0.3954 | 0.3949 | 18.0 |
|
| 86 |
+
| 0.0015 | 32.0 | 6464 | 0.0000 | 0.395 | 0.376 | 0.3954 | 0.3949 | 18.0 |
|
| 87 |
+
| 0.0011 | 33.0 | 6666 | 0.0000 | 0.395 | 0.376 | 0.3954 | 0.3949 | 18.0 |
|
| 88 |
+
| 0.0011 | 34.0 | 6868 | 0.0000 | 0.395 | 0.376 | 0.3954 | 0.3949 | 18.0 |
|
| 89 |
+
| 0.0011 | 35.0 | 7070 | 0.0000 | 0.395 | 0.376 | 0.3954 | 0.3949 | 18.0 |
|
| 90 |
+
| 0.0011 | 36.0 | 7272 | 0.0000 | 0.395 | 0.376 | 0.3954 | 0.3949 | 18.0 |
|
| 91 |
+
| 0.0011 | 37.0 | 7474 | 0.0000 | 0.395 | 0.376 | 0.3954 | 0.3949 | 18.0 |
|
| 92 |
+
| 0.0011 | 38.0 | 7676 | 0.0000 | 0.395 | 0.376 | 0.3954 | 0.3949 | 18.0 |
|
| 93 |
+
| 0.0011 | 39.0 | 7878 | 0.0000 | 0.395 | 0.376 | 0.3954 | 0.3949 | 18.0 |
|
| 94 |
+
| 0.0009 | 40.0 | 8080 | 0.0000 | 0.395 | 0.376 | 0.3954 | 0.3949 | 18.0 |
|
| 95 |
+
| 0.0009 | 41.0 | 8282 | 0.0000 | 0.395 | 0.376 | 0.3954 | 0.3949 | 18.0 |
|
| 96 |
+
| 0.0009 | 42.0 | 8484 | 0.0000 | 0.395 | 0.376 | 0.3954 | 0.3949 | 18.0 |
|
| 97 |
+
| 0.0004 | 43.0 | 8686 | 0.0000 | 0.395 | 0.376 | 0.3954 | 0.3949 | 18.0 |
|
| 98 |
+
| 0.0004 | 44.0 | 8888 | 0.0000 | 0.395 | 0.376 | 0.3954 | 0.3949 | 18.0 |
|
| 99 |
+
| 0.0006 | 45.0 | 9090 | 0.0000 | 0.395 | 0.376 | 0.3954 | 0.3949 | 18.0 |
|
| 100 |
+
| 0.0006 | 46.0 | 9292 | 0.0000 | 0.395 | 0.376 | 0.3954 | 0.3949 | 18.0 |
|
| 101 |
+
| 0.0006 | 47.0 | 9494 | 0.0000 | 0.395 | 0.376 | 0.3954 | 0.3949 | 18.0 |
|
| 102 |
+
| 0.0007 | 48.0 | 9696 | 0.0000 | 0.395 | 0.376 | 0.3954 | 0.3949 | 18.0 |
|
| 103 |
+
| 0.0007 | 49.0 | 9898 | 0.0000 | 0.395 | 0.376 | 0.3954 | 0.3949 | 18.0 |
|
| 104 |
+
| 0.0008 | 50.0 | 10100 | 0.0000 | 0.395 | 0.376 | 0.3954 | 0.3949 | 18.0 |
|
| 105 |
+
| 0.0008 | 51.0 | 10302 | 0.0000 | 0.395 | 0.376 | 0.3954 | 0.3949 | 18.0 |
|
| 106 |
+
| 0.0003 | 52.0 | 10504 | 0.0000 | 0.395 | 0.376 | 0.3954 | 0.3949 | 18.0 |
|
| 107 |
+
| 0.0003 | 53.0 | 10706 | 0.0000 | 0.395 | 0.376 | 0.3954 | 0.3949 | 18.0 |
|
| 108 |
+
| 0.0003 | 54.0 | 10908 | 0.0000 | 0.395 | 0.376 | 0.3954 | 0.3949 | 18.0 |
|
| 109 |
+
| 0.0003 | 55.0 | 11110 | 0.0000 | 0.395 | 0.376 | 0.3954 | 0.3949 | 18.0 |
|
| 110 |
+
| 0.0003 | 56.0 | 11312 | 0.0000 | 0.395 | 0.376 | 0.3954 | 0.3949 | 18.0 |
|
| 111 |
+
| 0.0005 | 57.0 | 11514 | 0.0000 | 0.395 | 0.376 | 0.3954 | 0.3949 | 18.0 |
|
| 112 |
+
| 0.0005 | 58.0 | 11716 | 0.0000 | 0.395 | 0.376 | 0.3954 | 0.3949 | 18.0 |
|
| 113 |
+
| 0.0005 | 59.0 | 11918 | 0.0000 | 0.395 | 0.376 | 0.3954 | 0.3949 | 18.0 |
|
| 114 |
+
| 0.0015 | 60.0 | 12120 | 0.0000 | 0.395 | 0.376 | 0.3954 | 0.3949 | 18.0 |
|
| 115 |
+
| 0.0015 | 61.0 | 12322 | 0.0000 | 0.395 | 0.376 | 0.3954 | 0.3949 | 18.0 |
|
| 116 |
+
| 0.0005 | 62.0 | 12524 | 0.0000 | 0.395 | 0.376 | 0.3954 | 0.3949 | 18.0 |
|
| 117 |
+
| 0.0005 | 63.0 | 12726 | 0.0000 | 0.395 | 0.376 | 0.3954 | 0.3949 | 18.0 |
|
| 118 |
+
| 0.0005 | 64.0 | 12928 | 0.0000 | 0.395 | 0.376 | 0.3954 | 0.3949 | 18.0 |
|
| 119 |
+
| 0.0013 | 65.0 | 13130 | 0.0000 | 0.395 | 0.376 | 0.3954 | 0.3949 | 18.0 |
|
| 120 |
+
| 0.0013 | 66.0 | 13332 | 0.0000 | 0.395 | 0.376 | 0.3954 | 0.3949 | 18.0 |
|
| 121 |
+
| 0.0002 | 67.0 | 13534 | 0.0000 | 0.395 | 0.376 | 0.3954 | 0.3949 | 18.0 |
|
| 122 |
+
| 0.0002 | 68.0 | 13736 | 0.0000 | 0.395 | 0.376 | 0.3954 | 0.3949 | 18.0 |
|
| 123 |
+
| 0.0002 | 69.0 | 13938 | 0.0000 | 0.395 | 0.376 | 0.3954 | 0.3949 | 18.0 |
|
| 124 |
+
| 0.0001 | 70.0 | 14140 | 0.0000 | 0.395 | 0.376 | 0.3954 | 0.3949 | 18.0 |
|
| 125 |
+
| 0.0001 | 71.0 | 14342 | 0.0000 | 0.395 | 0.376 | 0.3954 | 0.3949 | 18.0 |
|
| 126 |
+
| 0.0005 | 72.0 | 14544 | 0.0000 | 0.395 | 0.376 | 0.3954 | 0.3949 | 18.0 |
|
| 127 |
+
| 0.0005 | 73.0 | 14746 | 0.0000 | 0.395 | 0.376 | 0.3954 | 0.3949 | 18.0 |
|
| 128 |
+
| 0.0005 | 74.0 | 14948 | 0.0000 | 0.395 | 0.376 | 0.3954 | 0.3949 | 18.0 |
|
| 129 |
+
| 0.0005 | 75.0 | 15150 | 0.0000 | 0.395 | 0.376 | 0.3954 | 0.3949 | 18.0 |
|
| 130 |
+
| 0.0005 | 76.0 | 15352 | 0.0000 | 0.395 | 0.376 | 0.3954 | 0.3949 | 18.0 |
|
| 131 |
+
| 0.0004 | 77.0 | 15554 | 0.0000 | 0.395 | 0.376 | 0.3954 | 0.3949 | 18.0 |
|
| 132 |
+
| 0.0004 | 78.0 | 15756 | 0.0000 | 0.395 | 0.376 | 0.3954 | 0.3949 | 18.0 |
|
| 133 |
+
| 0.0004 | 79.0 | 15958 | 0.0000 | 0.395 | 0.376 | 0.3954 | 0.3949 | 18.0 |
|
| 134 |
+
| 0.0004 | 80.0 | 16160 | 0.0000 | 0.395 | 0.376 | 0.3954 | 0.3949 | 18.0 |
|
| 135 |
+
| 0.0004 | 81.0 | 16362 | 0.0000 | 0.395 | 0.376 | 0.3954 | 0.3949 | 18.0 |
|
| 136 |
+
| 0.0002 | 82.0 | 16564 | 0.0000 | 0.395 | 0.376 | 0.3954 | 0.3949 | 18.0 |
|
| 137 |
+
| 0.0002 | 83.0 | 16766 | 0.0000 | 0.395 | 0.376 | 0.3954 | 0.3949 | 18.0 |
|
| 138 |
+
| 0.0002 | 84.0 | 16968 | 0.0000 | 0.395 | 0.376 | 0.3954 | 0.3949 | 18.0 |
|
| 139 |
+
| 0.0005 | 85.0 | 17170 | 0.0000 | 0.395 | 0.376 | 0.3954 | 0.3949 | 18.0 |
|
| 140 |
+
| 0.0005 | 86.0 | 17372 | 0.0000 | 0.395 | 0.376 | 0.3954 | 0.3949 | 18.0 |
|
| 141 |
+
| 0.0003 | 87.0 | 17574 | 0.0000 | 0.395 | 0.376 | 0.3954 | 0.3949 | 18.0 |
|
| 142 |
+
| 0.0003 | 88.0 | 17776 | 0.0000 | 0.395 | 0.376 | 0.3954 | 0.3949 | 18.0 |
|
| 143 |
+
| 0.0003 | 89.0 | 17978 | 0.0000 | 0.395 | 0.376 | 0.3954 | 0.3949 | 18.0 |
|
| 144 |
+
| 0.0002 | 90.0 | 18180 | 0.0000 | 0.395 | 0.376 | 0.3954 | 0.3949 | 18.0 |
|
| 145 |
+
| 0.0002 | 91.0 | 18382 | 0.0000 | 0.395 | 0.376 | 0.3954 | 0.3949 | 18.0 |
|
| 146 |
+
| 0.0001 | 92.0 | 18584 | 0.0000 | 0.395 | 0.376 | 0.3954 | 0.3949 | 18.0 |
|
| 147 |
+
| 0.0001 | 93.0 | 18786 | 0.0000 | 0.395 | 0.376 | 0.3954 | 0.3949 | 18.0 |
|
| 148 |
+
| 0.0001 | 94.0 | 18988 | 0.0000 | 0.395 | 0.376 | 0.3954 | 0.3949 | 18.0 |
|
| 149 |
+
| 0.0003 | 95.0 | 19190 | 0.0000 | 0.395 | 0.376 | 0.3954 | 0.3949 | 18.0 |
|
| 150 |
+
| 0.0003 | 96.0 | 19392 | 0.0000 | 0.395 | 0.376 | 0.3954 | 0.3949 | 18.0 |
|
| 151 |
+
| 0.0 | 97.0 | 19594 | 0.0000 | 0.395 | 0.376 | 0.3954 | 0.3949 | 18.0 |
|
| 152 |
+
| 0.0 | 98.0 | 19796 | 0.0000 | 0.395 | 0.376 | 0.3954 | 0.3949 | 18.0 |
|
| 153 |
+
| 0.0 | 99.0 | 19998 | 0.0000 | 0.395 | 0.376 | 0.3954 | 0.3949 | 18.0 |
|
| 154 |
+
| 0.0001 | 100.0 | 20200 | 0.0000 | 0.395 | 0.376 | 0.3954 | 0.3949 | 18.0 |
|
| 155 |
+
|
| 156 |
+
|
| 157 |
+
### Framework versions
|
| 158 |
+
|
| 159 |
+
- Transformers 4.30.0
|
| 160 |
+
- Pytorch 2.0.1+cu118
|
| 161 |
+
- Datasets 2.12.0
|
| 162 |
+
- Tokenizers 0.13.3
|