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---
license: apache-2.0
tags:
- generated_from_trainer
- audio
- automatic-speech-recognition
- speech
- speech-emotion-recognition
- audio-classification
widget:
- example_title: IEMOCAP clip "happy"
src: >-
https://cdn-media.huggingface.co/speech_samples/IEMOCAP_Ses01F_impro03_F013.wav
- example_title: IEMOCAP clip "neutral"
src: >-
https://cdn-media.huggingface.co/speech_samples/IEMOCAP_Ses01F_impro04_F000.wav
metrics:
- accuracy
model-index:
- name: wav2vec2-large-xlsr-53-english-ser-cosine
results: []
pipeline_tag: audio-classification
---
<!-- 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. -->
# wav2vec2-large-xlsr-53-english-ser-cosine
This model is a fine-tuned version of [jonatasgrosman/wav2vec2-large-xlsr-53-english](https://huggingface.co/jonatasgrosman/wav2vec2-large-xlsr-53-english) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4677
- Accuracy: 0.8677
## 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: 0.0001076429938136877
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine_with_restarts
- lr_scheduler_warmup_steps: 18
- num_epochs: 3.0
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.7885 | 0.01 | 10 | 1.7963 | 0.1791 |
| 1.7907 | 0.02 | 20 | 1.7973 | 0.2638 |
| 1.8288 | 0.02 | 30 | 1.7546 | 0.2465 |
| 1.7803 | 0.03 | 40 | 1.7500 | 0.2087 |
| 1.7941 | 0.04 | 50 | 1.6953 | 0.2950 |
| 1.7934 | 0.05 | 60 | 1.6342 | 0.3714 |
| 1.6559 | 0.06 | 70 | 1.6199 | 0.2892 |
| 1.6214 | 0.07 | 80 | 1.5400 | 0.4117 |
| 1.5226 | 0.07 | 90 | 1.3802 | 0.4519 |
| 1.4954 | 0.08 | 100 | 1.3506 | 0.4717 |
| 1.4062 | 0.09 | 110 | 1.3328 | 0.4766 |
| 1.4507 | 0.1 | 120 | 1.1985 | 0.5464 |
| 1.2812 | 0.11 | 130 | 1.2826 | 0.4922 |
| 1.1494 | 0.12 | 140 | 1.0960 | 0.6187 |
| 1.1035 | 0.12 | 150 | 1.1925 | 0.5645 |
| 1.2784 | 0.13 | 160 | 1.0955 | 0.6015 |
| 1.0302 | 0.14 | 170 | 1.0418 | 0.6072 |
| 1.0068 | 0.15 | 180 | 0.9261 | 0.6804 |
| 1.112 | 0.16 | 190 | 1.1529 | 0.5867 |
| 1.0308 | 0.16 | 200 | 0.8637 | 0.7058 |
| 1.0464 | 0.17 | 210 | 0.9205 | 0.6426 |
| 0.9531 | 0.18 | 220 | 0.9363 | 0.6886 |
| 1.0228 | 0.19 | 230 | 0.9637 | 0.6615 |
| 1.1446 | 0.2 | 240 | 1.3015 | 0.5489 |
| 1.1146 | 0.21 | 250 | 0.9328 | 0.6483 |
| 0.849 | 0.21 | 260 | 0.8504 | 0.6746 |
| 0.7977 | 0.22 | 270 | 0.9533 | 0.6697 |
| 0.9397 | 0.23 | 280 | 0.9300 | 0.7083 |
| 0.8625 | 0.24 | 290 | 1.1020 | 0.6401 |
| 1.333 | 0.25 | 300 | 0.9816 | 0.6442 |
| 1.0022 | 0.25 | 310 | 0.8472 | 0.7067 |
| 0.8002 | 0.26 | 320 | 0.7866 | 0.7149 |
| 0.8987 | 0.27 | 330 | 0.7979 | 0.6976 |
| 0.9473 | 0.28 | 340 | 0.8600 | 0.6878 |
| 0.9001 | 0.29 | 350 | 0.8141 | 0.7034 |
| 0.9793 | 0.3 | 360 | 0.9872 | 0.6450 |
| 0.9189 | 0.3 | 370 | 0.8561 | 0.6845 |
| 0.9281 | 0.31 | 380 | 0.9055 | 0.6919 |
| 0.7118 | 0.32 | 390 | 0.7937 | 0.6984 |
| 1.0565 | 0.33 | 400 | 0.7339 | 0.7313 |
| 0.8467 | 0.34 | 410 | 0.8262 | 0.6836 |
| 0.9601 | 0.35 | 420 | 0.7464 | 0.7346 |
| 0.8911 | 0.35 | 430 | 0.7229 | 0.7338 |
| 0.9033 | 0.36 | 440 | 0.7393 | 0.7223 |
| 0.8961 | 0.37 | 450 | 0.7272 | 0.7428 |
| 0.7216 | 0.38 | 460 | 0.7183 | 0.7436 |
| 0.6935 | 0.39 | 470 | 0.8003 | 0.7083 |
| 0.7588 | 0.39 | 480 | 0.8471 | 0.7116 |
| 0.8766 | 0.4 | 490 | 0.6976 | 0.7379 |
| 0.6866 | 0.41 | 500 | 0.6806 | 0.7584 |
| 0.6822 | 0.42 | 510 | 0.7669 | 0.7256 |
| 0.7067 | 0.43 | 520 | 0.6885 | 0.7461 |
| 0.6159 | 0.44 | 530 | 0.7020 | 0.7535 |
| 0.8814 | 0.44 | 540 | 0.7478 | 0.7256 |
| 0.7786 | 0.45 | 550 | 0.6302 | 0.7691 |
| 0.6363 | 0.46 | 560 | 0.6745 | 0.7691 |
| 0.8518 | 0.47 | 570 | 0.6242 | 0.7666 |
| 0.8194 | 0.48 | 580 | 0.7154 | 0.7379 |
| 0.6755 | 0.49 | 590 | 0.7056 | 0.7543 |
| 0.7743 | 0.49 | 600 | 0.6823 | 0.7486 |
| 0.6457 | 0.5 | 610 | 0.7160 | 0.7502 |
| 0.4976 | 0.51 | 620 | 0.8222 | 0.7149 |
| 0.929 | 0.52 | 630 | 0.7318 | 0.7371 |
| 0.7981 | 0.53 | 640 | 0.7417 | 0.7461 |
| 0.7243 | 0.53 | 650 | 0.6831 | 0.7461 |
| 0.7332 | 0.54 | 660 | 0.6273 | 0.7592 |
| 0.7827 | 0.55 | 670 | 0.6158 | 0.7724 |
| 0.7733 | 0.56 | 680 | 0.7515 | 0.7371 |
| 0.8527 | 0.57 | 690 | 0.7200 | 0.7412 |
| 0.8355 | 0.58 | 700 | 0.7738 | 0.7436 |
| 0.5383 | 0.58 | 710 | 0.9081 | 0.7132 |
| 1.0851 | 0.59 | 720 | 0.6135 | 0.7831 |
| 0.7345 | 0.6 | 730 | 0.7032 | 0.7642 |
| 0.6648 | 0.61 | 740 | 0.6146 | 0.7781 |
| 0.612 | 0.62 | 750 | 0.6338 | 0.7732 |
| 0.6101 | 0.62 | 760 | 0.6772 | 0.7740 |
| 0.6498 | 0.63 | 770 | 0.7153 | 0.7601 |
| 0.6258 | 0.64 | 780 | 0.7871 | 0.7329 |
| 0.7943 | 0.65 | 790 | 0.6975 | 0.7691 |
| 0.8176 | 0.66 | 800 | 0.7692 | 0.7313 |
| 0.6682 | 0.67 | 810 | 0.5766 | 0.8012 |
| 0.4808 | 0.67 | 820 | 0.5882 | 0.7847 |
| 0.6331 | 0.68 | 830 | 0.5855 | 0.7896 |
| 0.874 | 0.69 | 840 | 0.7082 | 0.7568 |
| 0.8984 | 0.7 | 850 | 0.6078 | 0.7732 |
| 0.5861 | 0.71 | 860 | 0.6469 | 0.7814 |
| 0.6896 | 0.72 | 870 | 0.6997 | 0.7560 |
| 0.8237 | 0.72 | 880 | 0.6279 | 0.7650 |
| 0.5818 | 0.73 | 890 | 0.6763 | 0.7691 |
| 0.4781 | 0.74 | 900 | 0.6867 | 0.7592 |
| 0.6851 | 0.75 | 910 | 0.6142 | 0.7724 |
| 0.455 | 0.76 | 920 | 0.9159 | 0.7141 |
| 0.808 | 0.76 | 930 | 0.7518 | 0.7617 |
| 1.0634 | 0.77 | 940 | 0.6015 | 0.7839 |
| 0.6956 | 0.78 | 950 | 0.5895 | 0.7872 |
| 0.5169 | 0.79 | 960 | 0.6394 | 0.7773 |
| 0.6213 | 0.8 | 970 | 0.6890 | 0.7699 |
| 0.5506 | 0.81 | 980 | 0.7471 | 0.7560 |
| 0.6233 | 0.81 | 990 | 0.6525 | 0.7872 |
| 0.7666 | 0.82 | 1000 | 0.8002 | 0.7403 |
| 0.5644 | 0.83 | 1010 | 0.7067 | 0.7387 |
| 0.6038 | 0.84 | 1020 | 0.6091 | 0.7823 |
| 0.6211 | 0.85 | 1030 | 0.6749 | 0.7707 |
| 0.6758 | 0.86 | 1040 | 0.7102 | 0.7502 |
| 0.7353 | 0.86 | 1050 | 0.6959 | 0.7560 |
| 0.5687 | 0.87 | 1060 | 0.6831 | 0.7675 |
| 0.5606 | 0.88 | 1070 | 0.5945 | 0.7847 |
| 0.7309 | 0.89 | 1080 | 0.6737 | 0.7412 |
| 0.5951 | 0.9 | 1090 | 0.6574 | 0.7675 |
| 0.6062 | 0.9 | 1100 | 0.6740 | 0.7502 |
| 0.9606 | 0.91 | 1110 | 0.5730 | 0.7839 |
| 0.6625 | 0.92 | 1120 | 0.5922 | 0.7749 |
| 0.7908 | 0.93 | 1130 | 0.5652 | 0.7823 |
| 0.6387 | 0.94 | 1140 | 0.5268 | 0.8118 |
| 0.7141 | 0.95 | 1150 | 0.5628 | 0.7896 |
| 0.5587 | 0.95 | 1160 | 0.6479 | 0.7609 |
| 0.4817 | 0.96 | 1170 | 0.5410 | 0.8044 |
| 0.4444 | 0.97 | 1180 | 0.5950 | 0.8044 |
| 0.6776 | 0.98 | 1190 | 0.5993 | 0.8012 |
| 0.5989 | 0.99 | 1200 | 0.5745 | 0.7987 |
| 0.6334 | 1.0 | 1210 | 0.6220 | 0.7913 |
| 0.5216 | 1.0 | 1220 | 0.5936 | 0.7938 |
| 0.5127 | 1.01 | 1230 | 0.6741 | 0.7839 |
| 0.5632 | 1.02 | 1240 | 0.6501 | 0.7954 |
| 0.5335 | 1.03 | 1250 | 0.5721 | 0.8061 |
| 0.511 | 1.04 | 1260 | 0.5630 | 0.8102 |
| 0.5424 | 1.04 | 1270 | 0.5396 | 0.8135 |
| 0.771 | 1.05 | 1280 | 0.5580 | 0.8012 |
| 0.435 | 1.06 | 1290 | 0.5764 | 0.8036 |
| 0.5203 | 1.07 | 1300 | 0.6032 | 0.7913 |
| 0.4689 | 1.08 | 1310 | 0.6431 | 0.7872 |
| 0.481 | 1.09 | 1320 | 0.6019 | 0.7987 |
| 0.5938 | 1.09 | 1330 | 0.6198 | 0.7938 |
| 0.3972 | 1.1 | 1340 | 0.5842 | 0.8061 |
| 0.368 | 1.11 | 1350 | 0.5066 | 0.8127 |
| 0.4644 | 1.12 | 1360 | 0.6058 | 0.8012 |
| 0.6914 | 1.13 | 1370 | 0.5384 | 0.8217 |
| 0.3341 | 1.13 | 1380 | 0.5535 | 0.8143 |
| 0.5301 | 1.14 | 1390 | 0.5916 | 0.8020 |
| 0.5294 | 1.15 | 1400 | 0.6297 | 0.7938 |
| 0.7029 | 1.16 | 1410 | 0.5581 | 0.8102 |
| 0.322 | 1.17 | 1420 | 0.6066 | 0.7831 |
| 0.6871 | 1.18 | 1430 | 0.5141 | 0.8151 |
| 0.4026 | 1.18 | 1440 | 0.6888 | 0.7716 |
| 0.4484 | 1.19 | 1450 | 0.5499 | 0.8077 |
| 0.3767 | 1.2 | 1460 | 0.4825 | 0.8225 |
| 0.4274 | 1.21 | 1470 | 0.4932 | 0.8274 |
| 0.4584 | 1.22 | 1480 | 0.5168 | 0.8299 |
| 0.5741 | 1.23 | 1490 | 0.6384 | 0.7798 |
| 0.3877 | 1.23 | 1500 | 0.5789 | 0.8044 |
| 0.3734 | 1.24 | 1510 | 0.6415 | 0.7855 |
| 0.7986 | 1.25 | 1520 | 0.5575 | 0.8077 |
| 0.5634 | 1.26 | 1530 | 0.5684 | 0.8143 |
| 0.5136 | 1.27 | 1540 | 0.5393 | 0.8143 |
| 0.5331 | 1.27 | 1550 | 0.5203 | 0.8176 |
| 0.2918 | 1.28 | 1560 | 0.5510 | 0.8151 |
| 0.4425 | 1.29 | 1570 | 0.5783 | 0.8094 |
| 0.4245 | 1.3 | 1580 | 0.5433 | 0.8209 |
| 0.3317 | 1.31 | 1590 | 0.5845 | 0.8085 |
| 0.4583 | 1.32 | 1600 | 0.6147 | 0.7954 |
| 0.3298 | 1.32 | 1610 | 0.6249 | 0.8053 |
| 0.5248 | 1.33 | 1620 | 0.5722 | 0.8094 |
| 0.665 | 1.34 | 1630 | 0.5446 | 0.8217 |
| 0.3917 | 1.35 | 1640 | 0.5316 | 0.8258 |
| 0.4321 | 1.36 | 1650 | 0.5598 | 0.8217 |
| 0.3005 | 1.37 | 1660 | 0.6190 | 0.8151 |
| 0.4992 | 1.37 | 1670 | 0.5546 | 0.8184 |
| 0.586 | 1.38 | 1680 | 0.6416 | 0.7913 |
| 0.6481 | 1.39 | 1690 | 0.5324 | 0.8135 |
| 0.4008 | 1.4 | 1700 | 0.5786 | 0.8012 |
| 0.3463 | 1.41 | 1710 | 0.5145 | 0.8209 |
| 0.4994 | 1.41 | 1720 | 0.5650 | 0.8192 |
| 0.4093 | 1.42 | 1730 | 0.5191 | 0.8365 |
| 0.6375 | 1.43 | 1740 | 0.5734 | 0.8135 |
| 0.2303 | 1.44 | 1750 | 0.5447 | 0.8102 |
| 0.4824 | 1.45 | 1760 | 0.5139 | 0.8250 |
| 0.5439 | 1.46 | 1770 | 0.4979 | 0.8258 |
| 0.4751 | 1.46 | 1780 | 0.4896 | 0.8340 |
| 0.534 | 1.47 | 1790 | 0.4656 | 0.8348 |
| 0.4526 | 1.48 | 1800 | 0.5322 | 0.8316 |
| 0.4618 | 1.49 | 1810 | 0.5216 | 0.8233 |
| 0.3825 | 1.5 | 1820 | 0.4792 | 0.8225 |
| 0.4557 | 1.5 | 1830 | 0.5071 | 0.8118 |
| 0.5725 | 1.51 | 1840 | 0.5152 | 0.8102 |
| 0.7004 | 1.52 | 1850 | 0.5080 | 0.8217 |
| 0.4367 | 1.53 | 1860 | 0.4920 | 0.8357 |
| 0.3682 | 1.54 | 1870 | 0.5253 | 0.8299 |
| 0.4411 | 1.55 | 1880 | 0.6186 | 0.8069 |
| 0.5391 | 1.55 | 1890 | 0.5074 | 0.8283 |
| 0.4673 | 1.56 | 1900 | 0.4858 | 0.8398 |
| 0.3542 | 1.57 | 1910 | 0.4767 | 0.8381 |
| 0.6483 | 1.58 | 1920 | 0.4694 | 0.8373 |
| 0.3837 | 1.59 | 1930 | 0.4678 | 0.8472 |
| 0.363 | 1.6 | 1940 | 0.4684 | 0.8463 |
| 0.6446 | 1.6 | 1950 | 0.4696 | 0.8365 |
| 0.5627 | 1.61 | 1960 | 0.4651 | 0.8472 |
| 0.3733 | 1.62 | 1970 | 0.5138 | 0.8291 |
| 0.5972 | 1.63 | 1980 | 0.5244 | 0.8250 |
| 0.2388 | 1.64 | 1990 | 0.5020 | 0.8266 |
| 0.6279 | 1.64 | 2000 | 0.5865 | 0.8118 |
| 0.5827 | 1.65 | 2010 | 0.5717 | 0.8176 |
| 0.4598 | 1.66 | 2020 | 0.4691 | 0.8439 |
| 0.3817 | 1.67 | 2030 | 0.5084 | 0.8340 |
| 0.2973 | 1.68 | 2040 | 0.4568 | 0.8447 |
| 0.4039 | 1.69 | 2050 | 0.4681 | 0.8505 |
| 0.4572 | 1.69 | 2060 | 0.4718 | 0.8389 |
| 0.3481 | 1.7 | 2070 | 0.4849 | 0.8283 |
| 0.4553 | 1.71 | 2080 | 0.4574 | 0.8414 |
| 0.4055 | 1.72 | 2090 | 0.4640 | 0.8463 |
| 0.4384 | 1.73 | 2100 | 0.5049 | 0.8431 |
| 0.5593 | 1.74 | 2110 | 0.5192 | 0.8513 |
| 0.3486 | 1.74 | 2120 | 0.4764 | 0.8480 |
| 0.4698 | 1.75 | 2130 | 0.4858 | 0.8447 |
| 0.211 | 1.76 | 2140 | 0.4976 | 0.8398 |
| 0.5209 | 1.77 | 2150 | 0.4934 | 0.8472 |
| 0.4281 | 1.78 | 2160 | 0.4714 | 0.8578 |
| 0.3902 | 1.78 | 2170 | 0.4863 | 0.8463 |
| 0.3083 | 1.79 | 2180 | 0.4807 | 0.8431 |
| 0.4642 | 1.8 | 2190 | 0.4712 | 0.8472 |
| 0.2382 | 1.81 | 2200 | 0.4641 | 0.8513 |
| 0.4154 | 1.82 | 2210 | 0.4900 | 0.8447 |
| 0.3637 | 1.83 | 2220 | 0.4790 | 0.8488 |
| 0.4864 | 1.83 | 2230 | 0.4742 | 0.8513 |
| 0.5024 | 1.84 | 2240 | 0.4803 | 0.8529 |
| 0.4139 | 1.85 | 2250 | 0.4672 | 0.8521 |
| 0.4131 | 1.86 | 2260 | 0.4895 | 0.8431 |
| 0.4851 | 1.87 | 2270 | 0.4432 | 0.8529 |
| 0.3846 | 1.88 | 2280 | 0.4417 | 0.8422 |
| 0.3778 | 1.88 | 2290 | 0.4477 | 0.8439 |
| 0.4128 | 1.89 | 2300 | 0.4336 | 0.8513 |
| 0.3755 | 1.9 | 2310 | 0.4678 | 0.8439 |
| 0.4672 | 1.91 | 2320 | 0.4740 | 0.8373 |
| 0.5216 | 1.92 | 2330 | 0.4343 | 0.8472 |
| 0.3469 | 1.92 | 2340 | 0.4542 | 0.8316 |
| 0.3283 | 1.93 | 2350 | 0.4587 | 0.8447 |
| 0.3495 | 1.94 | 2360 | 0.5050 | 0.8348 |
| 0.4518 | 1.95 | 2370 | 0.5309 | 0.8266 |
| 0.3023 | 1.96 | 2380 | 0.5113 | 0.8332 |
| 0.4014 | 1.97 | 2390 | 0.4989 | 0.8332 |
| 0.4963 | 1.97 | 2400 | 0.4539 | 0.8505 |
| 0.3421 | 1.98 | 2410 | 0.4889 | 0.8455 |
| 0.4126 | 1.99 | 2420 | 0.4696 | 0.8463 |
| 0.479 | 2.0 | 2430 | 0.4498 | 0.8513 |
| 0.3319 | 2.01 | 2440 | 0.4686 | 0.8488 |
| 0.2787 | 2.01 | 2450 | 0.4650 | 0.8447 |
| 0.2105 | 2.02 | 2460 | 0.4665 | 0.8505 |
| 0.4944 | 2.03 | 2470 | 0.4667 | 0.8488 |
| 0.2236 | 2.04 | 2480 | 0.4678 | 0.8463 |
| 0.3076 | 2.05 | 2490 | 0.4621 | 0.8513 |
| 0.2813 | 2.06 | 2500 | 0.4451 | 0.8562 |
| 0.2207 | 2.06 | 2510 | 0.4559 | 0.8562 |
| 0.3693 | 2.07 | 2520 | 0.4634 | 0.8513 |
| 0.3682 | 2.08 | 2530 | 0.4390 | 0.8562 |
| 0.2618 | 2.09 | 2540 | 0.4417 | 0.8529 |
| 0.3139 | 2.1 | 2550 | 0.4618 | 0.8529 |
| 0.1739 | 2.11 | 2560 | 0.4938 | 0.8488 |
| 0.4258 | 2.11 | 2570 | 0.4574 | 0.8496 |
| 0.2136 | 2.12 | 2580 | 0.4495 | 0.8529 |
| 0.2625 | 2.13 | 2590 | 0.4555 | 0.8570 |
| 0.3161 | 2.14 | 2600 | 0.4696 | 0.8537 |
| 0.2515 | 2.15 | 2610 | 0.4649 | 0.8661 |
| 0.3097 | 2.15 | 2620 | 0.4474 | 0.8685 |
| 0.3544 | 2.16 | 2630 | 0.4458 | 0.8603 |
| 0.2967 | 2.17 | 2640 | 0.4555 | 0.8669 |
| 0.4015 | 2.18 | 2650 | 0.4486 | 0.8652 |
| 0.079 | 2.19 | 2660 | 0.4624 | 0.8620 |
| 0.1754 | 2.2 | 2670 | 0.4805 | 0.8587 |
| 0.1854 | 2.2 | 2680 | 0.4803 | 0.8628 |
| 0.3181 | 2.21 | 2690 | 0.4792 | 0.8595 |
| 0.0808 | 2.22 | 2700 | 0.4740 | 0.8628 |
| 0.2027 | 2.23 | 2710 | 0.4846 | 0.8587 |
| 0.3211 | 2.24 | 2720 | 0.5074 | 0.8505 |
| 0.2448 | 2.25 | 2730 | 0.5276 | 0.8414 |
| 0.3618 | 2.25 | 2740 | 0.5133 | 0.8488 |
| 0.1822 | 2.26 | 2750 | 0.5002 | 0.8578 |
| 0.3095 | 2.27 | 2760 | 0.4827 | 0.8603 |
| 0.0762 | 2.28 | 2770 | 0.4792 | 0.8644 |
| 0.187 | 2.29 | 2780 | 0.4897 | 0.8644 |
| 0.5779 | 2.29 | 2790 | 0.4901 | 0.8652 |
| 0.292 | 2.3 | 2800 | 0.4764 | 0.8603 |
| 0.1865 | 2.31 | 2810 | 0.4798 | 0.8644 |
| 0.3594 | 2.32 | 2820 | 0.4837 | 0.8620 |
| 0.421 | 2.33 | 2830 | 0.4812 | 0.8562 |
| 0.1173 | 2.34 | 2840 | 0.4708 | 0.8603 |
| 0.278 | 2.34 | 2850 | 0.4693 | 0.8685 |
| 0.2294 | 2.35 | 2860 | 0.4724 | 0.8628 |
| 0.243 | 2.36 | 2870 | 0.4749 | 0.8620 |
| 0.3979 | 2.37 | 2880 | 0.4633 | 0.8628 |
| 0.4518 | 2.38 | 2890 | 0.4603 | 0.8669 |
| 0.2739 | 2.38 | 2900 | 0.4625 | 0.8685 |
| 0.1782 | 2.39 | 2910 | 0.4652 | 0.8677 |
| 0.3536 | 2.4 | 2920 | 0.4613 | 0.8644 |
| 0.0904 | 2.41 | 2930 | 0.4642 | 0.8611 |
| 0.2315 | 2.42 | 2940 | 0.4613 | 0.8661 |
| 0.1236 | 2.43 | 2950 | 0.4628 | 0.8652 |
| 0.1842 | 2.43 | 2960 | 0.4706 | 0.8620 |
| 0.2414 | 2.44 | 2970 | 0.4683 | 0.8652 |
| 0.3419 | 2.45 | 2980 | 0.4645 | 0.8677 |
| 0.2877 | 2.46 | 2990 | 0.4657 | 0.8636 |
| 0.2524 | 2.47 | 3000 | 0.4701 | 0.8652 |
| 0.1731 | 2.48 | 3010 | 0.4733 | 0.8644 |
| 0.1731 | 2.48 | 3020 | 0.4830 | 0.8595 |
| 0.0921 | 2.49 | 3030 | 0.4904 | 0.8603 |
| 0.1593 | 2.5 | 3040 | 0.4836 | 0.8595 |
| 0.467 | 2.51 | 3050 | 0.4706 | 0.8628 |
| 0.4225 | 2.52 | 3060 | 0.4598 | 0.8644 |
| 0.1251 | 2.52 | 3070 | 0.4511 | 0.8694 |
| 0.2181 | 2.53 | 3080 | 0.4487 | 0.8735 |
| 0.2247 | 2.54 | 3090 | 0.4452 | 0.8767 |
| 0.3722 | 2.55 | 3100 | 0.4469 | 0.8759 |
| 0.1069 | 2.56 | 3110 | 0.4536 | 0.8735 |
| 0.2174 | 2.57 | 3120 | 0.4571 | 0.8710 |
| 0.2586 | 2.57 | 3130 | 0.4626 | 0.8685 |
| 0.2803 | 2.58 | 3140 | 0.4665 | 0.8677 |
| 0.4484 | 2.59 | 3150 | 0.4581 | 0.8694 |
| 0.3104 | 2.6 | 3160 | 0.4539 | 0.8735 |
| 0.2411 | 2.61 | 3170 | 0.4531 | 0.8726 |
| 0.2157 | 2.62 | 3180 | 0.4565 | 0.8694 |
| 0.2342 | 2.62 | 3190 | 0.4549 | 0.8694 |
| 0.2921 | 2.63 | 3200 | 0.4570 | 0.8677 |
| 0.1988 | 2.64 | 3210 | 0.4590 | 0.8677 |
| 0.2142 | 2.65 | 3220 | 0.4601 | 0.8661 |
| 0.1666 | 2.66 | 3230 | 0.4652 | 0.8661 |
| 0.2296 | 2.66 | 3240 | 0.4709 | 0.8611 |
| 0.3847 | 2.67 | 3250 | 0.4676 | 0.8636 |
| 0.4149 | 2.68 | 3260 | 0.4654 | 0.8636 |
| 0.2602 | 2.69 | 3270 | 0.4614 | 0.8661 |
| 0.3786 | 2.7 | 3280 | 0.4605 | 0.8661 |
| 0.3509 | 2.71 | 3290 | 0.4590 | 0.8661 |
| 0.2254 | 2.71 | 3300 | 0.4564 | 0.8677 |
| 0.1775 | 2.72 | 3310 | 0.4553 | 0.8694 |
| 0.2269 | 2.73 | 3320 | 0.4546 | 0.8669 |
| 0.1792 | 2.74 | 3330 | 0.4549 | 0.8644 |
| 0.1107 | 2.75 | 3340 | 0.4580 | 0.8661 |
| 0.2062 | 2.75 | 3350 | 0.4598 | 0.8636 |
| 0.1641 | 2.76 | 3360 | 0.4621 | 0.8652 |
| 0.18 | 2.77 | 3370 | 0.4651 | 0.8652 |
| 0.0959 | 2.78 | 3380 | 0.4673 | 0.8661 |
| 0.217 | 2.79 | 3390 | 0.4672 | 0.8652 |
| 0.3293 | 2.8 | 3400 | 0.4673 | 0.8644 |
| 0.2691 | 2.8 | 3410 | 0.4669 | 0.8644 |
| 0.1945 | 2.81 | 3420 | 0.4659 | 0.8652 |
| 0.2712 | 2.82 | 3430 | 0.4660 | 0.8677 |
| 0.2287 | 2.83 | 3440 | 0.4663 | 0.8677 |
| 0.2103 | 2.84 | 3450 | 0.4661 | 0.8669 |
| 0.2713 | 2.85 | 3460 | 0.4663 | 0.8669 |
| 0.3182 | 2.85 | 3470 | 0.4665 | 0.8677 |
| 0.1698 | 2.86 | 3480 | 0.4668 | 0.8669 |
| 0.2663 | 2.87 | 3490 | 0.4669 | 0.8677 |
| 0.2091 | 2.88 | 3500 | 0.4670 | 0.8685 |
| 0.1406 | 2.89 | 3510 | 0.4677 | 0.8669 |
| 0.16 | 2.89 | 3520 | 0.4682 | 0.8661 |
| 0.1413 | 2.9 | 3530 | 0.4686 | 0.8661 |
| 0.3499 | 2.91 | 3540 | 0.4690 | 0.8661 |
| 0.205 | 2.92 | 3550 | 0.4688 | 0.8661 |
| 0.3849 | 2.93 | 3560 | 0.4684 | 0.8661 |
| 0.209 | 2.94 | 3570 | 0.4680 | 0.8669 |
| 0.1985 | 2.94 | 3580 | 0.4678 | 0.8677 |
| 0.1989 | 2.95 | 3590 | 0.4678 | 0.8677 |
| 0.2031 | 2.96 | 3600 | 0.4677 | 0.8677 |
| 0.2401 | 2.97 | 3610 | 0.4677 | 0.8677 |
| 0.2717 | 2.98 | 3620 | 0.4678 | 0.8677 |
| 0.2821 | 2.99 | 3630 | 0.4678 | 0.8677 |
| 0.1735 | 2.99 | 3640 | 0.4677 | 0.8677 |
### Framework versions
- Transformers 4.40.0.dev0
- Pytorch 2.2.1+cu121
- Datasets 2.18.1.dev0
- Tokenizers 0.15.2 |