shivanandmn commited on
Commit
dd44b81
·
verified ·
1 Parent(s): 21d61f6

Model save

Browse files
Files changed (1) hide show
  1. README.md +8 -5
README.md CHANGED
@@ -17,10 +17,10 @@ should probably proofread and complete it, then remove this comment. -->
17
 
18
  This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
19
  It achieves the following results on the evaluation set:
20
- - Accuracy: 0.4217
21
- - Bleu: 0.1309
22
- - Loss: 3.1790
23
- - Perplexity: 24.0231
24
 
25
  ## Model description
26
 
@@ -46,7 +46,7 @@ The following hyperparameters were used during training:
46
  - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
47
  - lr_scheduler_type: linear
48
  - lr_scheduler_warmup_ratio: 0.1
49
- - num_epochs: 6
50
 
51
  ### Training results
52
 
@@ -73,6 +73,9 @@ The following hyperparameters were used during training:
73
  | 3.0683 | 5.3311 | 9500 | 0.4195 | 0.1307 | 3.1970 | 24.4597 |
74
  | 3.0502 | 5.6117 | 10000 | 0.4209 | 0.1331 | 3.1857 | 24.1847 |
75
  | 3.0469 | 5.8923 | 10500 | 0.4217 | 0.1309 | 3.1790 | 24.0231 |
 
 
 
76
 
77
 
78
  ### Framework versions
 
17
 
18
  This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
19
  It achieves the following results on the evaluation set:
20
+ - Loss: 3.1692
21
+ - Accuracy: 0.4228
22
+ - Perplexity: 23.7877
23
+ - Bleu: 0.1332
24
 
25
  ## Model description
26
 
 
46
  - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
47
  - lr_scheduler_type: linear
48
  - lr_scheduler_warmup_ratio: 0.1
49
+ - num_epochs: 7
50
 
51
  ### Training results
52
 
 
73
  | 3.0683 | 5.3311 | 9500 | 0.4195 | 0.1307 | 3.1970 | 24.4597 |
74
  | 3.0502 | 5.6117 | 10000 | 0.4209 | 0.1331 | 3.1857 | 24.1847 |
75
  | 3.0469 | 5.8923 | 10500 | 0.4217 | 0.1309 | 3.1790 | 24.0231 |
76
+ | 3.0245 | 6.1728 | 11000 | 3.1863 | 0.4205 | 24.1979 | 0.1294 |
77
+ | 3.0203 | 6.4534 | 11500 | 3.1783 | 0.4218 | 24.0068 | 0.1331 |
78
+ | 3.0265 | 6.7340 | 12000 | 3.1692 | 0.4228 | 23.7877 | 0.1332 |
79
 
80
 
81
  ### Framework versions