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library_name: transformers
tags:
- Unigram
- generated_from_trainer
model-index:
- name: childes-segmentation-random-gpt2_lm-model
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# childes-segmentation-random-gpt2_lm-model
This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.6714
- Model Preparation Time: 0.0013
- Perplexity: 39.3072
- Bpc: 5.2967
- Spike Seg Type Fscore Entropy: 0.2901
- Spike Seg Boundary Fscore Entropy: 0.2894
- Absolute Seg Type Fscore Entropy: 0.0145
- Absolute Seg Boundary Fscore Entropy: 0.4108
- Spike Seg Type Fscore Increase in entropy: 0.3036
- Spike Seg Boundary Fscore Increase in entropy: 0.3016
- Absolute Seg Type Fscore Increase in entropy: 0.1261
- Absolute Seg Boundary Fscore Increase in entropy: 0.4111
- Spike Seg Type Fscore Loss: 0.2639
- Spike Seg Boundary Fscore Loss: 0.2919
- Absolute Seg Type Fscore Loss: 0.2476
- Absolute Seg Boundary Fscore Loss: 0.4106
- Spike Seg Type Fscore Increase in loss: 0.2913
- Spike Seg Boundary Fscore Increase in loss: 0.3060
- Absolute Seg Type Fscore Increase in loss: 0.2506
- Absolute Seg Boundary Fscore Increase in loss: 0.4113
- Spike Seg Type Fscore Rank: 0.2671
- Spike Seg Boundary Fscore Rank: 0.2887
- Absolute Seg Type Fscore Rank: 0.2385
- Absolute Seg Boundary Fscore Rank: 0.4072
- Spike Seg Type Fscore Increase in rank: 0.2910
- Spike Seg Boundary Fscore Increase in rank: 0.3061
- Absolute Seg Type Fscore Increase in rank: 0.2300
- Absolute Seg Boundary Fscore Increase in rank: 0.4109
- Spike Seg Type Fscore Boundary prediction: 0.3087
- Spike Seg Boundary Fscore Boundary prediction: 0.2935
- Absolute Seg Type Fscore Boundary prediction: 0.3136
- Absolute Seg Boundary Fscore Boundary prediction: 0.4156
- Spike Seg Type Fscore Increase in boundary prediction: 0.3115
- Spike Seg Boundary Fscore Increase in boundary prediction: 0.3048
- Absolute Seg Type Fscore Increase in boundary prediction: 0.3184
- Absolute Seg Boundary Fscore Increase in boundary prediction: 0.4112
- Spike Seg Type Fscore Majority vote cutoff: 0.2801
- Spike Seg Type Fscore Majority vote spike: 0.2857
- Absolute Seg Type Fscore Majority vote cutoff: 0.2836
- Absolute Seg Type Fscore Majority vote spike: 0.2562
- Spike Seg Boundary Fscore Majority vote cutoff: 0.0702
- Spike Seg Boundary Fscore Majority vote spike: 0.3001
- Absolute Seg Boundary Fscore Majority vote cutoff: 0.4111
- Absolute Seg Boundary Fscore Majority vote spike: 0.2451
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.001
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 60000
- training_steps: 200000
### Training results
| 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 |
|:-------------:|:--------:|:------:|:---------------:|:----------------------:|:----------:|:------:|:-----------------------------:|:---------------------------------:|:--------------------------------:|:------------------------------------:|:-----------------------------------------:|:---------------------------------------------:|:--------------------------------------------:|:------------------------------------------------:|:--------------------------:|:------------------------------:|:-----------------------------:|:---------------------------------:|:--------------------------------------:|:------------------------------------------:|:-----------------------------------------:|:---------------------------------------------:|:--------------------------:|:------------------------------:|:-----------------------------:|:---------------------------------:|:--------------------------------------:|:------------------------------------------:|:-----------------------------------------:|:---------------------------------------------:|:-----------------------------------------:|:---------------------------------------------:|:--------------------------------------------:|:------------------------------------------------:|:-----------------------------------------------------:|:---------------------------------------------------------:|:--------------------------------------------------------:|:------------------------------------------------------------:|:------------------------------------------:|:-----------------------------------------:|:---------------------------------------------:|:--------------------------------------------:|:----------------------------------------------:|:---------------------------------------------:|:-------------------------------------------------:|:------------------------------------------------:|
| 3.4648 | 45.2489 | 20000 | 3.4757 | 0.0013 | 32.3198 | 5.0143 | 0.2607 | 0.2785 | 0.2028 | 0.4112 | 0.2886 | 0.2841 | 0.2706 | 0.4108 | 0.2456 | 0.2884 | 0.1700 | 0.0 | 0.2665 | 0.3014 | 0.2324 | 0.4111 | 0.2389 | 0.2836 | 0.1824 | 0.4056 | 0.2576 | 0.2987 | 0.2200 | 0.4084 | 0.3183 | 0.3031 | 0.3486 | 0.4234 | 0.3098 | 0.3107 | 0.3013 | 0.4111 | 0.2411 | 0.2601 | 0.2339 | 0.2291 | 0.0348 | 0.2930 | 0.4117 | 0.2418 |
| 3.4495 | 90.4977 | 40000 | 3.4868 | 0.0013 | 32.6803 | 5.0304 | 0.2773 | 0.2732 | 0.2142 | 0.4110 | 0.2976 | 0.2942 | 0.2913 | 0.4105 | 0.2560 | 0.2905 | 0.1796 | 0.0 | 0.2738 | 0.3060 | 0.2163 | 0.4111 | 0.2495 | 0.2825 | 0.2037 | 0.4045 | 0.2711 | 0.3001 | 0.2289 | 0.3885 | 0.3109 | 0.2988 | 0.3298 | 0.4248 | 0.3118 | 0.3082 | 0.3052 | 0.4102 | 0.2567 | 0.2667 | 0.2347 | 0.2369 | 0.1204 | 0.2971 | 0.4122 | 0.2426 |
| 3.4367 | 135.7466 | 60000 | 3.5036 | 0.0013 | 33.2336 | 5.0546 | 0.2739 | 0.2854 | 0.2473 | 0.4111 | 0.2926 | 0.2985 | 0.2849 | 0.4111 | 0.2579 | 0.2906 | 0.2360 | 0.4097 | 0.2818 | 0.3054 | 0.2067 | 0.4112 | 0.2556 | 0.2855 | 0.2157 | 0.4046 | 0.2767 | 0.2993 | 0.2485 | 0.4103 | 0.3097 | 0.2987 | 0.3307 | 0.4206 | 0.3054 | 0.3020 | 0.2984 | 0.4108 | 0.2659 | 0.2751 | 0.2645 | 0.2387 | 0.0445 | 0.2987 | 0.4111 | 0.2430 |
| 3.4155 | 180.9955 | 80000 | 3.5248 | 0.0013 | 33.9462 | 5.0852 | 0.2762 | 0.2856 | 0.2361 | 0.4113 | 0.2981 | 0.3032 | 0.1245 | 0.4114 | 0.2630 | 0.2926 | 0.2360 | 0.4065 | 0.2769 | 0.2999 | 0.2169 | 0.4112 | 0.2567 | 0.2849 | 0.2254 | 0.4077 | 0.2791 | 0.3033 | 0.2420 | 0.4111 | 0.3139 | 0.2948 | 0.3315 | 0.4136 | 0.3146 | 0.2991 | 0.3115 | 0.4106 | 0.2653 | 0.2792 | 0.2455 | 0.2506 | 0.0921 | 0.2966 | 0.4111 | 0.2456 |
| 3.392 | 226.2443 | 100000 | 3.5551 | 0.0013 | 34.9912 | 5.1289 | 0.2804 | 0.2773 | 0.2468 | 0.4113 | 0.2985 | 0.2979 | 0.2936 | 0.4113 | 0.2596 | 0.2942 | 0.2483 | 0.4109 | 0.2833 | 0.3060 | 0.2383 | 0.4112 | 0.2566 | 0.2883 | 0.2316 | 0.4099 | 0.2822 | 0.2977 | 0.2611 | 0.4101 | 0.3144 | 0.3022 | 0.3336 | 0.4202 | 0.3140 | 0.3082 | 0.3250 | 0.4110 | 0.2772 | 0.2781 | 0.2770 | 0.2548 | 0.0170 | 0.2979 | 0.4112 | 0.2497 |
| 3.3686 | 271.4932 | 120000 | 3.5762 | 0.0013 | 35.7390 | 5.1594 | 0.2861 | 0.2781 | 0.2570 | 0.4113 | 0.3072 | 0.3038 | 0.1257 | 0.4112 | 0.2627 | 0.2901 | 0.2429 | 0.4112 | 0.2876 | 0.3051 | 0.2427 | 0.4112 | 0.2608 | 0.2853 | 0.2437 | 0.4050 | 0.2871 | 0.3029 | 0.2538 | 0.4045 | 0.3140 | 0.2963 | 0.3412 | 0.4213 | 0.3045 | 0.3033 | 0.3183 | 0.4109 | 0.2720 | 0.2792 | 0.2730 | 0.2516 | 0.0521 | 0.2946 | 0.4111 | 0.2404 |
| 3.3469 | 316.7421 | 140000 | 3.5964 | 0.0013 | 36.4679 | 5.1886 | 0.2866 | 0.2840 | 0.2602 | 0.4110 | 0.3031 | 0.3018 | 0.1256 | 0.4114 | 0.2600 | 0.2914 | 0.2309 | 0.4112 | 0.2877 | 0.3060 | 0.2533 | 0.4112 | 0.2639 | 0.2889 | 0.2449 | 0.4067 | 0.2916 | 0.3032 | 0.2530 | 0.4063 | 0.3078 | 0.2920 | 0.3295 | 0.4180 | 0.3074 | 0.3056 | 0.3188 | 0.4101 | 0.2762 | 0.2864 | 0.2695 | 0.2549 | 0.0755 | 0.3013 | 0.4111 | 0.2426 |
| 3.3272 | 361.9910 | 160000 | 3.6249 | 0.0013 | 37.5217 | 5.2297 | 0.2877 | 0.2887 | 0.2542 | 0.4110 | 0.3039 | 0.3002 | 0.1419 | 0.4114 | 0.2625 | 0.2904 | 0.2276 | 0.4110 | 0.2896 | 0.3085 | 0.2519 | 0.4113 | 0.2646 | 0.284 | 0.2304 | 0.4063 | 0.2907 | 0.3043 | 0.2599 | 0.4112 | 0.3108 | 0.2940 | 0.3272 | 0.4203 | 0.3085 | 0.3031 | 0.3194 | 0.4111 | 0.2774 | 0.2843 | 0.2806 | 0.2586 | 0.0368 | 0.2992 | 0.4112 | 0.2425 |
| 3.3103 | 407.2398 | 180000 | 3.6582 | 0.0013 | 38.7926 | 5.2777 | 0.2920 | 0.2900 | 0.0145 | 0.4108 | 0.3071 | 0.3051 | 0.3052 | 0.4111 | 0.2646 | 0.2898 | 0.2409 | 0.4100 | 0.2920 | 0.3094 | 0.1256 | 0.4113 | 0.2650 | 0.2886 | 0.2316 | 0.4071 | 0.2907 | 0.3062 | 0.2681 | 0.4108 | 0.3113 | 0.2932 | 0.3329 | 0.4201 | 0.3121 | 0.3057 | 0.1246 | 0.4112 | 0.2711 | 0.2860 | 0.2960 | 0.2565 | 0.0343 | 0.3008 | 0.4112 | 0.2482 |
| 3.2994 | 452.4887 | 200000 | 3.6714 | 0.0013 | 39.3072 | 5.2967 | 0.2901 | 0.2894 | 0.0145 | 0.4108 | 0.3036 | 0.3016 | 0.1261 | 0.4111 | 0.2639 | 0.2919 | 0.2476 | 0.4106 | 0.2913 | 0.3060 | 0.2506 | 0.4113 | 0.2671 | 0.2887 | 0.2385 | 0.4072 | 0.2910 | 0.3061 | 0.2300 | 0.4109 | 0.3087 | 0.2935 | 0.3136 | 0.4156 | 0.3115 | 0.3048 | 0.3184 | 0.4112 | 0.2801 | 0.2857 | 0.2836 | 0.2562 | 0.0702 | 0.3001 | 0.4111 | 0.2451 |
### Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu118
- Datasets 2.18.0
- Tokenizers 0.19.1
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