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README.md
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---
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language:
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- en
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license: mit
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base_model: microsoft/speecht5_tts
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tags:
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- en_accent,mozilla,t5,common_voice_1_0
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- generated_from_trainer
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datasets:
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- mozilla-foundation/common_voice_1_0
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model-index:
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- name:
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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#
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This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the
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It achieves the following results on the evaluation set:
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- Loss: 0.
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## Model description
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### Training results
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### Framework versions
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---
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license: mit
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base_model: microsoft/speecht5_tts
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tags:
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- generated_from_trainer
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model-index:
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+
- name: speecht5_tts
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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+
# speecht5_tts
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This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4510
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## Model description
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:-----:|:---------------:|
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| No log | 2.34 | 250 | 0.4040 |
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| 0.4941 | 4.67 | 500 | 0.3757 |
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| 0.4941 | 7.01 | 750 | 0.3897 |
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| 0.4047 | 9.35 | 1000 | 0.3722 |
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| 0.4047 | 11.68 | 1250 | 0.3740 |
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| 0.3766 | 14.02 | 1500 | 0.3743 |
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| 0.3766 | 16.36 | 1750 | 0.3888 |
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| 0.3689 | 18.69 | 2000 | 0.3749 |
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| 0.3689 | 21.03 | 2250 | 0.3867 |
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| 0.349 | 23.36 | 2500 | 0.3795 |
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| 0.349 | 25.7 | 2750 | 0.3936 |
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| 0.3424 | 28.04 | 3000 | 0.3786 |
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| 0.3424 | 30.37 | 3250 | 0.3725 |
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| 0.3394 | 32.71 | 3500 | 0.3869 |
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| 0.3394 | 35.05 | 3750 | 0.3978 |
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| 0.3333 | 37.38 | 4000 | 0.3944 |
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| 0.3333 | 39.72 | 4250 | 0.4143 |
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| 0.3293 | 42.06 | 4500 | 0.3949 |
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| 0.3293 | 44.39 | 4750 | 0.3739 |
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| 0.3275 | 46.73 | 5000 | 0.3886 |
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| 0.3275 | 49.07 | 5250 | 0.3900 |
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| 0.3219 | 51.4 | 5500 | 0.3955 |
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| 0.3219 | 53.74 | 5750 | 0.4065 |
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| 0.3147 | 56.07 | 6000 | 0.4022 |
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| 0.3147 | 58.41 | 6250 | 0.3874 |
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| 0.3153 | 60.75 | 6500 | 0.3999 |
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| 0.3153 | 63.08 | 6750 | 0.3880 |
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| 0.3084 | 65.42 | 7000 | 0.3874 |
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| 0.3084 | 67.76 | 7250 | 0.4324 |
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| 0.3067 | 70.09 | 7500 | 0.4177 |
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| 0.3067 | 72.43 | 7750 | 0.4054 |
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| 0.3044 | 74.77 | 8000 | 0.4039 |
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| 0.3044 | 77.1 | 8250 | 0.4080 |
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| 0.3001 | 79.44 | 8500 | 0.3963 |
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| 0.3001 | 81.78 | 8750 | 0.4182 |
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| 0.2965 | 84.11 | 9000 | 0.4026 |
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| 0.2965 | 86.45 | 9250 | 0.4261 |
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| 0.2939 | 88.79 | 9500 | 0.4102 |
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| 0.2939 | 91.12 | 9750 | 0.4187 |
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| 0.2903 | 93.46 | 10000 | 0.4052 |
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| 0.2903 | 95.79 | 10250 | 0.4185 |
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| 0.2904 | 98.13 | 10500 | 0.4092 |
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| 0.2904 | 100.47 | 10750 | 0.4182 |
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| 0.285 | 102.8 | 11000 | 0.4127 |
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| 0.285 | 105.14 | 11250 | 0.4231 |
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| 0.2859 | 107.48 | 11500 | 0.4053 |
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| 0.2859 | 109.81 | 11750 | 0.4249 |
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| 0.2824 | 112.15 | 12000 | 0.4086 |
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| 0.2824 | 114.49 | 12250 | 0.4232 |
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| 0.2794 | 116.82 | 12500 | 0.4210 |
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| 0.2794 | 119.16 | 12750 | 0.4295 |
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| 0.2803 | 121.5 | 13000 | 0.4412 |
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| 0.2803 | 123.83 | 13250 | 0.4201 |
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| 0.277 | 126.17 | 13500 | 0.4181 |
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| 0.277 | 128.5 | 13750 | 0.4179 |
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| 0.2744 | 130.84 | 14000 | 0.4257 |
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| 0.2744 | 133.18 | 14250 | 0.4396 |
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| 0.2744 | 135.51 | 14500 | 0.4265 |
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| 0.2744 | 137.85 | 14750 | 0.4198 |
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| 0.2702 | 140.19 | 15000 | 0.4414 |
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| 0.2702 | 142.52 | 15250 | 0.4304 |
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| 0.2661 | 144.86 | 15500 | 0.4444 |
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| 0.2661 | 147.2 | 15750 | 0.4228 |
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| 0.2649 | 149.53 | 16000 | 0.4412 |
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| 0.2649 | 151.87 | 16250 | 0.4269 |
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| 0.264 | 154.21 | 16500 | 0.4343 |
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| 0.264 | 156.54 | 16750 | 0.4240 |
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| 0.2616 | 158.88 | 17000 | 0.4350 |
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| 0.2616 | 161.21 | 17250 | 0.4430 |
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| 0.2611 | 163.55 | 17500 | 0.4545 |
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| 0.2611 | 165.89 | 17750 | 0.4512 |
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| 0.2601 | 168.22 | 18000 | 0.4569 |
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| 0.2601 | 170.56 | 18250 | 0.4263 |
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| 0.2596 | 172.9 | 18500 | 0.4336 |
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| 0.2596 | 175.23 | 18750 | 0.4464 |
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| 0.2564 | 177.57 | 19000 | 0.4546 |
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| 0.2564 | 179.91 | 19250 | 0.4513 |
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| 0.2554 | 182.24 | 19500 | 0.4349 |
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| 0.2554 | 184.58 | 19750 | 0.4360 |
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| 0.255 | 186.92 | 20000 | 0.4571 |
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| 0.255 | 189.25 | 20250 | 0.4411 |
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| 0.2525 | 191.59 | 20500 | 0.4435 |
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| 0.2525 | 193.93 | 20750 | 0.4325 |
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| 0.251 | 196.26 | 21000 | 0.4441 |
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| 0.251 | 198.6 | 21250 | 0.4331 |
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| 0.2505 | 200.93 | 21500 | 0.4484 |
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| 0.2505 | 203.27 | 21750 | 0.4418 |
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| 0.2517 | 205.61 | 22000 | 0.4473 |
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| 0.2517 | 207.94 | 22250 | 0.4519 |
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| 0.2477 | 210.28 | 22500 | 0.4428 |
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| 0.2477 | 212.62 | 22750 | 0.4464 |
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| 0.2468 | 214.95 | 23000 | 0.4387 |
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| 0.2468 | 217.29 | 23250 | 0.4600 |
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| 0.2467 | 219.63 | 23500 | 0.4404 |
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| 0.2467 | 221.96 | 23750 | 0.4586 |
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| 0.2469 | 224.3 | 24000 | 0.4449 |
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| 0.2469 | 226.64 | 24250 | 0.4521 |
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| 0.2445 | 228.97 | 24500 | 0.4480 |
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| 0.2445 | 231.31 | 24750 | 0.4586 |
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| 0.2438 | 233.64 | 25000 | 0.4529 |
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| 0.2438 | 235.98 | 25250 | 0.4515 |
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| 0.2413 | 238.32 | 25500 | 0.4570 |
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| 0.2413 | 240.65 | 25750 | 0.4486 |
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| 0.2449 | 242.99 | 26000 | 0.4490 |
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| 0.2449 | 245.33 | 26250 | 0.4479 |
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| 0.2412 | 247.66 | 26500 | 0.4509 |
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| 0.2412 | 250.0 | 26750 | 0.4472 |
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| 0.2417 | 252.34 | 27000 | 0.4444 |
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| 0.2417 | 254.67 | 27250 | 0.4477 |
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| 0.2407 | 257.01 | 27500 | 0.4494 |
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| 0.2407 | 259.35 | 27750 | 0.4530 |
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| 0.2397 | 261.68 | 28000 | 0.4474 |
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| 0.2397 | 264.02 | 28250 | 0.4484 |
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| 0.2397 | 266.36 | 28500 | 0.4512 |
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| 0.2397 | 268.69 | 28750 | 0.4523 |
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| 0.2397 | 271.03 | 29000 | 0.4451 |
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| 0.2397 | 273.36 | 29250 | 0.4476 |
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| 0.241 | 275.7 | 29500 | 0.4515 |
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| 0.241 | 278.04 | 29750 | 0.4514 |
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| 0.2395 | 280.37 | 30000 | 0.4510 |
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### Framework versions
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runs/Dec10_17-23-42_Threadripper/events.out.tfevents.1702247022.Threadripper
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:0f667cd38d7008ac6085a0b3d559068580a7224a7b73aa90d32db3fb736f1c7a
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size 48488
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