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childes-segmentation-100k-gpt2_lm-model

Text Generation
Transformers
Safetensors
gpt2
Dutch
Generated from Trainer
text-generation-inference
Model card Files Community
codebyzeb commited on
Commit
7b7ea0b
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1 Parent(s): bbfafe8

Final model for experiment Romanian

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Files changed (6) hide show
  1. README.md +50 -61
  2. config.json +1 -1
  3. model.safetensors +2 -2
  4. tokenizer.json +59 -50
  5. training_args.bin +1 -1
  6. vocab.json +1 -1
README.md CHANGED
@@ -1,7 +1,7 @@
1
  ---
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  library_name: transformers
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  tags:
4
- - English
5
  - generated_from_trainer
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  model-index:
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  - name: childes-segmentation-100k-gpt2_lm-model
@@ -15,50 +15,55 @@ should probably proofread and complete it, then remove this comment. -->
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16
  This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 3.1201
19
- - Model Preparation Time: 0.0008
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- - Perplexity: 22.6483
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- - Bpc: 4.5013
22
- - Spike Seg Type Fscore Entropy: 0.3284
23
- - Spike Seg Boundary Fscore Entropy: 0.5623
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- - Absolute Seg Type Fscore Entropy: 0.2826
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- - Absolute Seg Boundary Fscore Entropy: 0.5201
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- - Spike Seg Type Fscore Increase in entropy: 0.3222
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- - Spike Seg Boundary Fscore Increase in entropy: 0.5860
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- - Absolute Seg Type Fscore Increase in entropy: 0.3406
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- - Absolute Seg Boundary Fscore Increase in entropy: 0.5854
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- - Spike Seg Type Fscore Loss: 0.3239
31
- - Spike Seg Boundary Fscore Loss: 0.5544
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- - Absolute Seg Type Fscore Loss: 0.2748
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- - Absolute Seg Boundary Fscore Loss: 0.5360
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- - Spike Seg Type Fscore Increase in loss: 0.3568
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- - Spike Seg Boundary Fscore Increase in loss: 0.6077
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- - Absolute Seg Type Fscore Increase in loss: 0.3621
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- - Absolute Seg Boundary Fscore Increase in loss: 0.6171
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- - Spike Seg Type Fscore Rank: 0.3793
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- - Spike Seg Boundary Fscore Rank: 0.6015
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- - Absolute Seg Type Fscore Rank: 0.3118
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- - Absolute Seg Boundary Fscore Rank: 0.5427
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- - Spike Seg Type Fscore Increase in rank: 0.3878
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- - Spike Seg Boundary Fscore Increase in rank: 0.6402
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- - Absolute Seg Type Fscore Increase in rank: 0.4242
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- - Absolute Seg Boundary Fscore Increase in rank: 0.6465
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- - Spike Seg Type Fscore Boundary prediction: 0.4543
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- - Spike Seg Boundary Fscore Boundary prediction: 0.7093
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- - Absolute Seg Type Fscore Boundary prediction: 0.2285
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- - Absolute Seg Boundary Fscore Boundary prediction: 0.6069
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- - Spike Seg Type Fscore Increase in boundary prediction: 0.4321
51
- - Spike Seg Boundary Fscore Increase in boundary prediction: 0.6954
52
- - Absolute Seg Type Fscore Increase in boundary prediction: 0.2103
53
- - Absolute Seg Boundary Fscore Increase in boundary prediction: 0.5945
54
- - Spike Seg Type Fscore Majority vote cutoff: 0.4140
55
- - Spike Seg Type Fscore Majority vote spike: 0.3889
56
- - Absolute Seg Type Fscore Majority vote cutoff: 0.3911
57
- - Absolute Seg Type Fscore Majority vote spike: 0.4509
58
- - Spike Seg Boundary Fscore Majority vote cutoff: 0.6895
59
- - Spike Seg Boundary Fscore Majority vote spike: 0.6735
60
- - Absolute Seg Boundary Fscore Majority vote cutoff: 0.6840
61
- - Absolute Seg Boundary Fscore Majority vote spike: 0.6902
 
 
 
 
 
62
 
63
  ## Model description
64
 
@@ -86,22 +91,6 @@ The following hyperparameters were used during training:
86
  - lr_scheduler_warmup_steps: 30000
87
  - training_steps: 100000
88
 
89
- ### Training results
90
-
91
- | Training Loss | Epoch | Step | Validation Loss | Model Preparation Time | Perplexity | Bpc | Spike Seg Type Fscore Entropy | Spike Seg Boundary Fscore Entropy | Absolute Seg Type Fscore Entropy | Absolute Seg Boundary Fscore Entropy | Spike Seg Type Fscore Increase in entropy | Spike Seg Boundary Fscore Increase in entropy | Absolute Seg Type Fscore Increase in entropy | Absolute Seg Boundary Fscore Increase in entropy | Spike Seg Type Fscore Loss | Spike Seg Boundary Fscore Loss | Absolute Seg Type Fscore Loss | Absolute Seg Boundary Fscore Loss | Spike Seg Type Fscore Increase in loss | Spike Seg Boundary Fscore Increase in loss | Absolute Seg Type Fscore Increase in loss | Absolute Seg Boundary Fscore Increase in loss | Spike Seg Type Fscore Rank | Spike Seg Boundary Fscore Rank | Absolute Seg Type Fscore Rank | Absolute Seg Boundary Fscore Rank | Spike Seg Type Fscore Increase in rank | Spike Seg Boundary Fscore Increase in rank | Absolute Seg Type Fscore Increase in rank | Absolute Seg Boundary Fscore Increase in rank | Spike Seg Type Fscore Boundary prediction | Spike Seg Boundary Fscore Boundary prediction | Absolute Seg Type Fscore Boundary prediction | Absolute Seg Boundary Fscore Boundary prediction | Spike Seg Type Fscore Increase in boundary prediction | Spike Seg Boundary Fscore Increase in boundary prediction | Absolute Seg Type Fscore Increase in boundary prediction | Absolute Seg Boundary Fscore Increase in boundary prediction | Spike Seg Type Fscore Majority vote cutoff | Spike Seg Type Fscore Majority vote spike | Absolute Seg Type Fscore Majority vote cutoff | Absolute Seg Type Fscore Majority vote spike | Spike Seg Boundary Fscore Majority vote cutoff | Spike Seg Boundary Fscore Majority vote spike | Absolute Seg Boundary Fscore Majority vote cutoff | Absolute Seg Boundary Fscore Majority vote spike |
92
- |:-------------:|:------:|:------:|:---------------:|:----------------------:|:----------:|:------:|:-----------------------------:|:---------------------------------:|:--------------------------------:|:------------------------------------:|:-----------------------------------------:|:---------------------------------------------:|:--------------------------------------------:|:------------------------------------------------:|:--------------------------:|:------------------------------:|:-----------------------------:|:---------------------------------:|:--------------------------------------:|:------------------------------------------:|:-----------------------------------------:|:---------------------------------------------:|:--------------------------:|:------------------------------:|:-----------------------------:|:---------------------------------:|:--------------------------------------:|:------------------------------------------:|:-----------------------------------------:|:---------------------------------------------:|:-----------------------------------------:|:---------------------------------------------:|:--------------------------------------------:|:------------------------------------------------:|:-----------------------------------------------------:|:---------------------------------------------------------:|:--------------------------------------------------------:|:------------------------------------------------------------:|:------------------------------------------:|:-----------------------------------------:|:---------------------------------------------:|:--------------------------------------------:|:----------------------------------------------:|:---------------------------------------------:|:-------------------------------------------------:|:------------------------------------------------:|
93
- | 2.1123 | 400.0 | 10000 | 2.2818 | 0.0008 | 9.7943 | 3.2919 | 0.3813 | 0.6270 | 0.3298 | 0.5745 | 0.3721 | 0.6596 | 0.4036 | 0.6705 | 0.3293 | 0.5998 | 0.2730 | 0.5420 | 0.3719 | 0.6639 | 0.4013 | 0.6562 | 0.3522 | 0.5826 | 0.328 | 0.5488 | 0.3761 | 0.6328 | 0.4221 | 0.6418 | 0.4099 | 0.6747 | 0.2800 | 0.5549 | 0.3900 | 0.6675 | 0.3359 | 0.5942 | 0.4557 | 0.4016 | 0.4721 | 0.4805 | 0.7331 | 0.7021 | 0.6858 | 0.7251 |
94
- | 1.6192 | 800.0 | 20000 | 2.4825 | 0.0008 | 11.9709 | 3.5815 | 0.3569 | 0.6189 | 0.3128 | 0.5580 | 0.3577 | 0.6392 | 0.3785 | 0.6428 | 0.3402 | 0.5876 | 0.2627 | 0.5098 | 0.3737 | 0.6487 | 0.3727 | 0.6407 | 0.3771 | 0.6080 | 0.3068 | 0.5472 | 0.3906 | 0.6449 | 0.4269 | 0.6560 | 0.4597 | 0.7133 | 0.23 | 0.3629 | 0.4475 | 0.71 | 0.3328 | 0.6069 | 0.4758 | 0.4055 | 0.4192 | 0.5038 | 0.7255 | 0.7021 | 0.6739 | 0.7385 |
95
- | 1.4547 | 1200.0 | 30000 | 2.6326 | 0.0008 | 13.9098 | 3.7980 | 0.3469 | 0.6099 | 0.3188 | 0.5407 | 0.3680 | 0.6391 | 0.3811 | 0.6420 | 0.3136 | 0.5604 | 0.2816 | 0.5398 | 0.3729 | 0.6329 | 0.3759 | 0.6402 | 0.3708 | 0.6041 | 0.3301 | 0.5426 | 0.4092 | 0.6611 | 0.4186 | 0.6649 | 0.4615 | 0.7158 | 0.3803 | 0.5835 | 0.4495 | 0.7169 | 0.2596 | 0.4182 | 0.4769 | 0.4249 | 0.4495 | 0.4983 | 0.7038 | 0.7031 | 0.6761 | 0.7303 |
96
- | 1.3364 | 1600.0 | 40000 | 2.7847 | 0.0008 | 16.1948 | 4.0175 | 0.3483 | 0.5891 | 0.3177 | 0.5425 | 0.3522 | 0.6131 | 0.3645 | 0.6203 | 0.3256 | 0.5514 | 0.2547 | 0.5126 | 0.3675 | 0.6158 | 0.3510 | 0.6167 | 0.3675 | 0.5962 | 0.3064 | 0.5444 | 0.3952 | 0.6406 | 0.4040 | 0.6405 | 0.4563 | 0.7063 | 0.3416 | 0.5913 | 0.4432 | 0.7001 | 0.3827 | 0.6170 | 0.4252 | 0.3832 | 0.4281 | 0.4703 | 0.7100 | 0.6737 | 0.6777 | 0.7079 |
97
- | 1.2735 | 2000.0 | 50000 | 2.8940 | 0.0008 | 18.0657 | 4.1752 | 0.3403 | 0.5811 | 0.3040 | 0.5203 | 0.3336 | 0.5987 | 0.3537 | 0.6122 | 0.3247 | 0.5540 | 0.2688 | 0.5271 | 0.3584 | 0.6155 | 0.3683 | 0.6244 | 0.3793 | 0.6136 | 0.3190 | 0.5534 | 0.3837 | 0.6379 | 0.4281 | 0.6440 | 0.4619 | 0.7149 | 0.2882 | 0.5646 | 0.4432 | 0.7027 | 0.3685 | 0.5991 | 0.4291 | 0.4003 | 0.4290 | 0.4660 | 0.7083 | 0.6777 | 0.6760 | 0.7043 |
98
- | 1.2319 | 2400.0 | 60000 | 2.9521 | 0.0008 | 19.1464 | 4.2590 | 0.3484 | 0.5741 | 0.3055 | 0.5367 | 0.3309 | 0.6014 | 0.3628 | 0.6056 | 0.3154 | 0.5552 | 0.2502 | 0.5279 | 0.3609 | 0.6064 | 0.3428 | 0.6196 | 0.3682 | 0.5958 | 0.3050 | 0.5496 | 0.3748 | 0.6385 | 0.4149 | 0.6354 | 0.4599 | 0.7043 | 0.2338 | 0.5558 | 0.4407 | 0.6910 | 0.2345 | 0.6155 | 0.4324 | 0.3849 | 0.3853 | 0.4327 | 0.7039 | 0.6720 | 0.6829 | 0.6928 |
99
- | 1.2005 | 2800.0 | 70000 | 3.0140 | 0.0008 | 20.3680 | 4.3482 | 0.3395 | 0.5691 | 0.2879 | 0.5208 | 0.3365 | 0.5991 | 0.3593 | 0.5314 | 0.3267 | 0.5577 | 0.2705 | 0.5343 | 0.3624 | 0.6151 | 0.3481 | 0.6138 | 0.3751 | 0.6039 | 0.3099 | 0.5518 | 0.3873 | 0.6415 | 0.4053 | 0.6372 | 0.4545 | 0.7119 | 0.3531 | 0.5483 | 0.4423 | 0.7037 | 0.2481 | 0.5234 | 0.4299 | 0.3956 | 0.4151 | 0.4552 | 0.7057 | 0.6785 | 0.6452 | 0.7009 |
100
- | 1.1734 | 3200.0 | 80000 | 3.0570 | 0.0008 | 21.2646 | 4.4104 | 0.3383 | 0.5660 | 0.2907 | 0.5220 | 0.3280 | 0.5965 | 0.3403 | 0.6060 | 0.3126 | 0.5492 | 0.2666 | 0.5292 | 0.3563 | 0.6146 | 0.3537 | 0.6183 | 0.3695 | 0.6005 | 0.3206 | 0.5540 | 0.3779 | 0.6346 | 0.4142 | 0.6532 | 0.4551 | 0.7078 | 0.2125 | 0.5182 | 0.4317 | 0.6910 | 0.2131 | 0.5122 | 0.4258 | 0.3811 | 0.3668 | 0.4376 | 0.6959 | 0.6700 | 0.6641 | 0.6861 |
101
- | 1.1496 | 3600.0 | 90000 | 3.0989 | 0.0008 | 22.1746 | 4.4708 | 0.3275 | 0.5561 | 0.2853 | 0.5200 | 0.3227 | 0.5843 | 0.3361 | 0.6014 | 0.3265 | 0.5540 | 0.2419 | 0.5321 | 0.3550 | 0.6067 | 0.3652 | 0.6174 | 0.3767 | 0.6011 | 0.3365 | 0.5366 | 0.3788 | 0.6376 | 0.4178 | 0.6458 | 0.4532 | 0.7054 | 0.2124 | 0.5592 | 0.4336 | 0.6949 | 0.2303 | 0.5915 | 0.4159 | 0.3880 | 0.3345 | 0.4492 | 0.6930 | 0.6672 | 0.6846 | 0.6878 |
102
- | 1.1331 | 4000.0 | 100000 | 3.1201 | 0.0008 | 22.6483 | 4.5013 | 0.3284 | 0.5623 | 0.2826 | 0.5201 | 0.3222 | 0.5860 | 0.3406 | 0.5854 | 0.3239 | 0.5544 | 0.2748 | 0.5360 | 0.3568 | 0.6077 | 0.3621 | 0.6171 | 0.3793 | 0.6015 | 0.3118 | 0.5427 | 0.3878 | 0.6402 | 0.4242 | 0.6465 | 0.4543 | 0.7093 | 0.2285 | 0.6069 | 0.4321 | 0.6954 | 0.2103 | 0.5945 | 0.4140 | 0.3889 | 0.3911 | 0.4509 | 0.6895 | 0.6735 | 0.6840 | 0.6902 |
103
-
104
-
105
  ### Framework versions
106
 
107
  - Transformers 4.44.2
 
1
  ---
2
  library_name: transformers
3
  tags:
4
+ - Romanian
5
  - generated_from_trainer
6
  model-index:
7
  - name: childes-segmentation-100k-gpt2_lm-model
 
15
 
16
  This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
17
  It achieves the following results on the evaluation set:
18
+ - epoch: 4000.0
19
+ - eval_absolute_seg_boundary_fscore_Boundary Prediction: 0.3704
20
+ - eval_absolute_seg_boundary_fscore_Entropy: 0.4345
21
+ - eval_absolute_seg_boundary_fscore_Increase in Boundary Prediction: 0.3644
22
+ - eval_absolute_seg_boundary_fscore_Increase in Entropy: 0.5248
23
+ - eval_absolute_seg_boundary_fscore_Increase in Loss: 0.5835
24
+ - eval_absolute_seg_boundary_fscore_Increase in Rank: 0.6254
25
+ - eval_absolute_seg_boundary_fscore_Loss: 0.5221
26
+ - eval_absolute_seg_boundary_fscore_Majority Vote Cutoff: 0.6357
27
+ - eval_absolute_seg_boundary_fscore_Majority Vote Spike: 0.6540
28
+ - eval_absolute_seg_boundary_fscore_Rank: 0.5604
29
+ - eval_absolute_seg_type_fscore_Boundary Prediction: 0.3057
30
+ - eval_absolute_seg_type_fscore_Entropy: 0.2911
31
+ - eval_absolute_seg_type_fscore_Increase in Boundary Prediction: 0.3078
32
+ - eval_absolute_seg_type_fscore_Increase in Entropy: 0.3004
33
+ - eval_absolute_seg_type_fscore_Increase in Loss: 0.3400
34
+ - eval_absolute_seg_type_fscore_Increase in Rank: 0.3752
35
+ - eval_absolute_seg_type_fscore_Loss: 0.2810
36
+ - eval_absolute_seg_type_fscore_Majority Vote Cutoff: 0.3662
37
+ - eval_absolute_seg_type_fscore_Majority Vote Spike: 0.3824
38
+ - eval_absolute_seg_type_fscore_Rank: 0.3141
39
+ - eval_bpc: 4.3618
40
+ - eval_loss: 3.0234
41
+ - eval_model_preparation_time: 0.0008
42
+ - eval_perplexity: 20.5604
43
+ - eval_runtime: 36.694
44
+ - eval_samples_per_second: 3.706
45
+ - eval_spike_seg_boundary_fscore_Boundary Prediction: 0.6173
46
+ - eval_spike_seg_boundary_fscore_Entropy: 0.4891
47
+ - eval_spike_seg_boundary_fscore_Increase in Boundary Prediction: 0.6181
48
+ - eval_spike_seg_boundary_fscore_Increase in Entropy: 0.5187
49
+ - eval_spike_seg_boundary_fscore_Increase in Loss: 0.5766
50
+ - eval_spike_seg_boundary_fscore_Increase in Rank: 0.6167
51
+ - eval_spike_seg_boundary_fscore_Loss: 0.5283
52
+ - eval_spike_seg_boundary_fscore_Majority Vote Cutoff: 0.6454
53
+ - eval_spike_seg_boundary_fscore_Majority Vote Spike: 0.6093
54
+ - eval_spike_seg_boundary_fscore_Rank: 0.5811
55
+ - eval_spike_seg_type_fscore_Boundary Prediction: 0.3424
56
+ - eval_spike_seg_type_fscore_Entropy: 0.2494
57
+ - eval_spike_seg_type_fscore_Increase in Boundary Prediction: 0.3342
58
+ - eval_spike_seg_type_fscore_Increase in Entropy: 0.2537
59
+ - eval_spike_seg_type_fscore_Increase in Loss: 0.2644
60
+ - eval_spike_seg_type_fscore_Increase in Rank: 0.3247
61
+ - eval_spike_seg_type_fscore_Loss: 0.2669
62
+ - eval_spike_seg_type_fscore_Majority Vote Cutoff: 0.3831
63
+ - eval_spike_seg_type_fscore_Majority Vote Spike: 0.2957
64
+ - eval_spike_seg_type_fscore_Rank: 0.3250
65
+ - eval_steps_per_second: 0.136
66
+ - step: 100000
67
 
68
  ## Model description
69
 
 
91
  - lr_scheduler_warmup_steps: 30000
92
  - training_steps: 100000
93
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
94
  ### Framework versions
95
 
96
  - Transformers 4.44.2
config.json CHANGED
@@ -27,5 +27,5 @@
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  "torch_dtype": "float32",
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  "transformers_version": "4.44.2",
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- "vocab_size": 54
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  }
 
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  "torch_dtype": "float32",
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  "transformers_version": "4.44.2",
29
  "use_cache": true,
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  }
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