Update README.md
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README.md
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| 1 |
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| step | Training Loss | Validation Loss | Accuracy |
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| 2 |
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|------|---------------|-----------------|----------|
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| 3 |
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| 100 | 1.408000 | 2.027748 | 0.157143 |
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| 4 |
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| 200 | 3.115200 | 1.903195 | 0.264286 |
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| 5 |
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| 300 | 1.391100 | 1.747969 | 0.292857 |
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| 6 |
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| 400 | 1.939900 | 1.880145 | 0.260714 |
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| 7 |
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| 500 | 1.430700 | 1.627666 | 0.385714 |
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| 8 |
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| 600 | 2.042500 | 1.640029 | 0.378571 |
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| 9 |
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| 700 | 2.244100 | 1.665656 | 0.414286 |
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| 10 |
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| 800 | 1.382800 | 1.393861 | 0.442857 |
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| 11 |
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| 900 | 0.041200 | 1.501603 | 0.392857 |
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| 12 |
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| 1000 | 0.997600 | 1.547526 | 0.471429 |
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| 13 |
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| 1100 | 0.851200 | 1.427456 | 0.510714 |
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| 14 |
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| 1200 | 0.030400 | 1.371201 | 0.546429 |
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| 15 |
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| 1300 | 0.015900 | 1.251728 | 0.575000 |
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| 16 |
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| 1400 | 0.661500 | 1.452044 | 0.542857 |
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| 17 |
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| 1500 | 1.753200 | 1.673231 | 0.553571 |
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| 18 |
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| 1600 | 0.543100 | 1.374431 | 0.560714 |
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| 19 |
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| 1700 | 0.223200 | 1.466555 | 0.564286 |
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| 20 |
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| 1800 | 4.417000 | 2.020453 | 0.582143 |
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| 21 |
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| 1900 | 1.420700 | 1.788945 | 0.575000 |
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| 22 |
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| 2000 | 0.059900 | 1.279900 | 0.696429 |
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| 23 |
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| 2100 | 0.004900 | 1.520277 | 0.610714 |
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| 24 |
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| 2200 | 0.067500 | 1.465420 | 0.621429 |
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| 25 |
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| 2300 | 0.010000 | 1.283547 | 0.710714 |
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| 26 |
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| 2400 | 3.950700 | 1.684178 | 0.635714 |
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| 27 |
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| 2500 | 0.001800 | 1.535846 | 0.675000 |
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| 28 |
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| 2600 | 0.062600 | 1.461411 | 0.685714 |
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| 29 |
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| 2700 | 0.000800 | 1.647843 | 0.692857 |
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| 30 |
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| 2800 | 0.018900 | 1.565477 | 0.685714 |
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| 31 |
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| 2900 | 0.783800 | 1.612781 | 0.710714 |
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| 32 |
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| 3000 | 0.027400 | 1.620468 | 0.703571 |
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| 33 |
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| 3100 | 0.000300 | 1.756414 | 0.685714 |
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| 34 |
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| 3200 | 0.000700 | 1.941203 | 0.682143 |
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| 35 |
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| 3300 | 0.000200 | 1.673942 | 0.717857 |
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| 36 |
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| 3400 | 0.000300 | 1.576283 | 0.710714 |
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| 37 |
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| 3500 | 0.000400 | 1.698424 | 0.707143 |
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| 38 |
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| 3600 | 0.000800 | 1.714727 | 0.700000 |
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| 39 |
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| 3700 | 0.000400 | 1.731099 | 0.714286 |
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| 40 |
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| 3800 | 0.000200 | 1.784098 | 0.707143 |
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| 41 |
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| 3900 | 0.000400 | 1.781287 | 0.714286 |
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| 42 |
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| 4000 | 0.000600 | 1.686473 | 0.710714 |
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| 43 |
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| 4100 | 0.000600 | 1.682677 | 0.714286 |
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| 44 |
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| 4200 | 0.000200 | 1.679403 | 0.707143 |
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| 45 |
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| 4300 | 0.000300 | 1.664588 | 0.710714 |
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| 46 |
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| 4400 | 0.003700 | 1.596243 | 0.725000 |
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| 47 |
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| 48 |
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| 49 |
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| | precision | recall | f1-score | support |
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| 50 |
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|--------------|-----------|--------|----------|---------|
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| 51 |
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| anger | 0.97 | 0.86 | 0.92 | 44 |
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| 52 |
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| disgust | 0.71 | 0.78 | 0.74 | 37 |
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| 53 |
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| enthusiasm | 0.51 | 0.80 | 0.62 | 40 |
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| 54 |
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| fear | 0.80 | 0.62 | 0.70 | 45 |
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| 55 |
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| happiness | 0.66 | 0.70 | 0.68 | 44 |
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| 56 |
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| neutral | 0.81 | 0.66 | 0.72 | 38 |
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| 57 |
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| sadness | 0.79 | 0.59 | 0.68 | 32 |
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| 58 |
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| accuracy | 0.72 | 280 | 0.442857 | |
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| 59 |
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| macro avg | 0.75 | 0.72 | 0.72 | 280 |
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| 60 |
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| weighted avg | 0.75 | 0.72 | 0.73 | 280 |
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