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yigagilbert
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salt_language_ID

Text2Text Generation
Transformers
TensorBoard
Safetensors
t5
Generated from Trainer
Eval Results
Inference Endpoints
text-generation-inference
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End of training

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  1. README.md +199 -0
  2. generation_config.json +7 -0
  3. model.safetensors +1 -1
README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: google/t5-efficient-tiny
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: salt_language_ID
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+ results: []
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+ ---
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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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+ # salt_language_ID
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+
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+ This model is a fine-tuned version of [google/t5-efficient-tiny](https://huggingface.co/google/t5-efficient-tiny) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.0523
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 0.0002
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+ - train_batch_size: 32
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+ - eval_batch_size: 16
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+ - seed: 42
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+ - gradient_accumulation_steps: 2
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+ - total_train_batch_size: 64
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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+ - lr_scheduler_warmup_steps: 500
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+ - num_epochs: 1
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:----:|:---------------:|
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+ | 290.8962 | 0.01 | 10 | 305.3102 |
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+ | 294.9642 | 0.01 | 20 | 296.0765 |
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+ | 281.0769 | 0.02 | 30 | 279.4232 |
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+ | 270.1917 | 0.03 | 40 | 254.2555 |
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+ | 243.3464 | 0.04 | 50 | 224.8921 |
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+ | 214.4873 | 0.04 | 60 | 196.3753 |
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+ | 187.9743 | 0.05 | 70 | 135.2601 |
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+ | 164.024 | 0.06 | 80 | 105.8822 |
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+ | 143.6121 | 0.06 | 90 | 90.4786 |
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+ | 126.019 | 0.07 | 100 | 75.9475 |
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+ | 111.2358 | 0.08 | 110 | 64.2843 |
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+ | 96.1458 | 0.09 | 120 | 51.4159 |
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+ | 83.5523 | 0.09 | 130 | 37.5541 |
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+ | 69.0164 | 0.1 | 140 | 24.2653 |
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+ | 55.3427 | 0.11 | 150 | 19.5405 |
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+ | 38.9215 | 0.11 | 160 | 12.6305 |
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+ | 28.0225 | 0.12 | 170 | 10.0512 |
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+ | 21.42 | 0.13 | 180 | 6.2506 |
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+ | 15.1783 | 0.14 | 190 | 3.1231 |
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+ | 11.7336 | 0.14 | 200 | 1.5384 |
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+ | 9.3141 | 0.15 | 210 | 1.0360 |
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+ | 6.9583 | 0.16 | 220 | 0.5647 |
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+ | 5.7743 | 0.16 | 230 | 0.5395 |
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+ | 4.7486 | 0.17 | 240 | 0.5611 |
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+ | 3.7387 | 0.18 | 250 | 0.4738 |
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+ | 3.3398 | 0.19 | 260 | 0.4057 |
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+ | 3.1383 | 0.19 | 270 | 0.7111 |
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+ | 2.5906 | 0.2 | 280 | 0.3963 |
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+ | 2.4711 | 0.21 | 290 | 0.6025 |
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+ | 2.0874 | 0.21 | 300 | 0.4192 |
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+ | 2.2178 | 0.22 | 310 | 0.5130 |
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+ | 1.9783 | 0.23 | 320 | 0.2481 |
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+ | 1.9655 | 0.24 | 330 | 0.2947 |
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+ | 1.677 | 0.24 | 340 | 0.1795 |
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+ | 1.5847 | 0.25 | 350 | 0.4913 |
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+ | 1.6727 | 0.26 | 360 | 0.3358 |
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+ | 1.5304 | 0.26 | 370 | 0.4296 |
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+ | 1.4964 | 0.27 | 380 | 0.1527 |
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+ | 1.3643 | 0.28 | 390 | 0.4387 |
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+ | 1.1374 | 0.29 | 400 | 0.1458 |
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+ | 1.0719 | 0.29 | 410 | 0.1550 |
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+ | 1.2705 | 0.3 | 420 | 0.3249 |
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+ | 0.863 | 0.31 | 430 | 0.1285 |
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+ | 0.9644 | 0.31 | 440 | 0.2107 |
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+ | 0.9679 | 0.32 | 450 | 0.1729 |
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+ | 0.9753 | 0.33 | 460 | 0.2159 |
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+ | 0.7938 | 0.33 | 470 | 0.3218 |
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+ | 0.739 | 0.34 | 480 | 0.1385 |
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+ | 0.6355 | 0.35 | 490 | 0.4408 |
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+ | 0.8578 | 0.36 | 500 | 0.1109 |
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+ | 0.758 | 0.36 | 510 | 0.1393 |
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+ | 0.5958 | 0.37 | 520 | 0.1510 |
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+ | 0.591 | 0.38 | 530 | 0.1199 |
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+ | 0.6605 | 0.38 | 540 | 0.2369 |
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+ | 0.6788 | 0.39 | 550 | 0.1469 |
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+ | 0.5533 | 0.4 | 560 | 0.1505 |
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+ | 0.517 | 0.41 | 570 | 0.1881 |
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+ | 0.5682 | 0.41 | 580 | 0.1808 |
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+ | 0.592 | 0.42 | 590 | 0.2145 |
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+ | 0.4944 | 0.43 | 600 | 0.0838 |
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+ | 0.4257 | 0.43 | 610 | 0.2627 |
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+ | 0.4852 | 0.44 | 620 | 0.1266 |
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+ | 0.457 | 0.45 | 630 | 0.1091 |
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+ | 0.5455 | 0.46 | 640 | 0.1685 |
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+ | 0.5514 | 0.46 | 650 | 0.0978 |
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+ | 0.5117 | 0.47 | 660 | 0.1249 |
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+ | 0.4067 | 0.48 | 670 | 0.0845 |
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+ | 0.3931 | 0.48 | 680 | 0.1590 |
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+ | 0.4459 | 0.49 | 690 | 0.1579 |
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+ | 0.3834 | 0.5 | 700 | 0.0723 |
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+ | 0.4204 | 0.51 | 710 | 0.1741 |
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+ | 0.3586 | 0.51 | 720 | 0.0758 |
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+ | 0.4346 | 0.52 | 730 | 0.1412 |
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+ | 0.3643 | 0.53 | 740 | 0.0911 |
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+ | 0.3513 | 0.53 | 750 | 0.1685 |
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+ | 0.3544 | 0.54 | 760 | 0.0671 |
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+ | 0.3327 | 0.55 | 770 | 0.2027 |
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+ | 0.3361 | 0.56 | 780 | 0.0781 |
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+ | 0.2818 | 0.56 | 790 | 0.1254 |
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+ | 0.3959 | 0.57 | 800 | 0.0609 |
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+ | 0.3416 | 0.58 | 810 | 0.2034 |
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+ | 0.3283 | 0.58 | 820 | 0.0913 |
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+ | 0.2884 | 0.59 | 830 | 0.1646 |
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+ | 0.3753 | 0.6 | 840 | 0.1290 |
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+ | 0.3436 | 0.61 | 850 | 0.1186 |
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+ | 0.2789 | 0.61 | 860 | 0.1103 |
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+ | 0.3437 | 0.62 | 870 | 0.0744 |
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+ | 0.2594 | 0.63 | 880 | 0.0608 |
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+ | 0.3105 | 0.63 | 890 | 0.0623 |
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+ | 0.3247 | 0.64 | 900 | 0.0801 |
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+ | 0.3111 | 0.65 | 910 | 0.0721 |
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+ | 0.2956 | 0.66 | 920 | 0.0617 |
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+ | 0.2971 | 0.66 | 930 | 0.1223 |
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+ | 0.2329 | 0.67 | 940 | 0.0652 |
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+ | 0.2615 | 0.68 | 950 | 0.0768 |
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+ | 0.2812 | 0.68 | 960 | 0.0735 |
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+ | 0.2756 | 0.69 | 970 | 0.0572 |
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+ | 0.201 | 0.7 | 980 | 0.0582 |
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+ | 0.2462 | 0.71 | 990 | 0.0830 |
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+ | 0.2597 | 0.71 | 1000 | 0.0510 |
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+ | 0.2546 | 0.72 | 1010 | 0.0990 |
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+ | 0.2765 | 0.73 | 1020 | 0.0718 |
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+ | 0.1772 | 0.73 | 1030 | 0.0505 |
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+ | 0.2669 | 0.74 | 1040 | 0.0916 |
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+ | 0.2215 | 0.75 | 1050 | 0.0609 |
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+ | 0.2295 | 0.76 | 1060 | 0.0799 |
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+ | 0.2413 | 0.76 | 1070 | 0.0573 |
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+ | 0.2022 | 0.77 | 1080 | 0.0636 |
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+ | 0.2539 | 0.78 | 1090 | 0.1083 |
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+ | 0.2061 | 0.78 | 1100 | 0.0570 |
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+ | 0.2561 | 0.79 | 1110 | 0.0522 |
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+ | 0.2606 | 0.8 | 1120 | 0.0721 |
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+ | 0.2368 | 0.81 | 1130 | 0.0514 |
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+ | 0.2789 | 0.81 | 1140 | 0.0557 |
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+ | 0.1802 | 0.82 | 1150 | 0.0945 |
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+ | 0.27 | 0.83 | 1160 | 0.0987 |
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+ | 0.2445 | 0.83 | 1170 | 0.0521 |
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+ | 0.1911 | 0.84 | 1180 | 0.0461 |
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+ | 0.2336 | 0.85 | 1190 | 0.0457 |
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+ | 0.1881 | 0.86 | 1200 | 0.0653 |
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+ | 0.2039 | 0.86 | 1210 | 0.0821 |
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+ | 0.2503 | 0.87 | 1220 | 0.0493 |
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+ | 0.2153 | 0.88 | 1230 | 0.0492 |
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+ | 0.2307 | 0.88 | 1240 | 0.0691 |
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+ | 0.1854 | 0.89 | 1250 | 0.0486 |
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+ | 0.1896 | 0.9 | 1260 | 0.0575 |
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+ | 0.2321 | 0.91 | 1270 | 0.0546 |
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+ | 0.195 | 0.91 | 1280 | 0.0506 |
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+ | 0.2457 | 0.92 | 1290 | 0.0556 |
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+ | 0.15 | 0.93 | 1300 | 0.0525 |
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+ | 0.2567 | 0.93 | 1310 | 0.0499 |
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+ | 0.2352 | 0.94 | 1320 | 0.0524 |
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+ | 0.2018 | 0.95 | 1330 | 0.0581 |
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+ | 0.1591 | 0.96 | 1340 | 0.0549 |
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+ | 0.2454 | 0.96 | 1350 | 0.0534 |
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+ | 0.1595 | 0.97 | 1360 | 0.0525 |
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+ | 0.179 | 0.98 | 1370 | 0.0524 |
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+ | 0.19 | 0.98 | 1380 | 0.0512 |
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+ | 0.1571 | 0.99 | 1390 | 0.0515 |
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+ | 0.1611 | 1.0 | 1400 | 0.0522 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.38.2
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+ - Pytorch 2.1.2
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+ - Datasets 2.1.0
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+ - Tokenizers 0.15.2
generation_config.json ADDED
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+ "_from_model_config": true,
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+ "decoder_start_token_id": 0,
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+ "eos_token_id": 1,
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+ "pad_token_id": 0,
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+ "transformers_version": "4.38.2"
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+ }
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