| | step | Training Loss | Validation Loss | Accuracy | | |
| |------|---------------|-----------------|----------| | |
| | 100 | 1.408000 | 2.027748 | 0.157143 | | |
| | 200 | 3.115200 | 1.903195 | 0.264286 | | |
| | 300 | 1.391100 | 1.747969 | 0.292857 | | |
| | 400 | 1.939900 | 1.880145 | 0.260714 | | |
| | 500 | 1.430700 | 1.627666 | 0.385714 | | |
| | 600 | 2.042500 | 1.640029 | 0.378571 | | |
| | 700 | 2.244100 | 1.665656 | 0.414286 | | |
| | 800 | 1.382800 | 1.393861 | 0.442857 | | |
| | 900 | 0.041200 | 1.501603 | 0.392857 | | |
| | 1000 | 0.997600 | 1.547526 | 0.471429 | | |
| | 1100 | 0.851200 | 1.427456 | 0.510714 | | |
| | 1200 | 0.030400 | 1.371201 | 0.546429 | | |
| | 1300 | 0.015900 | 1.251728 | 0.575000 | | |
| | 1400 | 0.661500 | 1.452044 | 0.542857 | | |
| | 1500 | 1.753200 | 1.673231 | 0.553571 | | |
| | 1600 | 0.543100 | 1.374431 | 0.560714 | | |
| | 1700 | 0.223200 | 1.466555 | 0.564286 | | |
| | 1800 | 4.417000 | 2.020453 | 0.582143 | | |
| | 1900 | 1.420700 | 1.788945 | 0.575000 | | |
| | 2000 | 0.059900 | 1.279900 | 0.696429 | | |
| | 2100 | 0.004900 | 1.520277 | 0.610714 | | |
| | 2200 | 0.067500 | 1.465420 | 0.621429 | | |
| | 2300 | 0.010000 | 1.283547 | 0.710714 | | |
| | 2400 | 3.950700 | 1.684178 | 0.635714 | | |
| | 2500 | 0.001800 | 1.535846 | 0.675000 | | |
| | 2600 | 0.062600 | 1.461411 | 0.685714 | | |
| | 2700 | 0.000800 | 1.647843 | 0.692857 | | |
| | 2800 | 0.018900 | 1.565477 | 0.685714 | | |
| | 2900 | 0.783800 | 1.612781 | 0.710714 | | |
| | 3000 | 0.027400 | 1.620468 | 0.703571 | | |
| | 3100 | 0.000300 | 1.756414 | 0.685714 | | |
| | 3200 | 0.000700 | 1.941203 | 0.682143 | | |
| | 3300 | 0.000200 | 1.673942 | 0.717857 | | |
| | 3400 | 0.000300 | 1.576283 | 0.710714 | | |
| | 3500 | 0.000400 | 1.698424 | 0.707143 | | |
| | 3600 | 0.000800 | 1.714727 | 0.700000 | | |
| | 3700 | 0.000400 | 1.731099 | 0.714286 | | |
| | 3800 | 0.000200 | 1.784098 | 0.707143 | | |
| | 3900 | 0.000400 | 1.781287 | 0.714286 | | |
| | 4000 | 0.000600 | 1.686473 | 0.710714 | | |
| | 4100 | 0.000600 | 1.682677 | 0.714286 | | |
| | 4200 | 0.000200 | 1.679403 | 0.707143 | | |
| | 4300 | 0.000300 | 1.664588 | 0.710714 | | |
| | 4400 | 0.003700 | 1.596243 | 0.725000 | | |
| | | precision | recall | f1-score | support | | |
| |--------------|-----------|--------|----------|---------| | |
| | anger | 0.97 | 0.86 | 0.92 | 44 | | |
| | disgust | 0.71 | 0.78 | 0.74 | 37 | | |
| | enthusiasm | 0.51 | 0.80 | 0.62 | 40 | | |
| | fear | 0.80 | 0.62 | 0.70 | 45 | | |
| | happiness | 0.66 | 0.70 | 0.68 | 44 | | |
| | neutral | 0.81 | 0.66 | 0.72 | 38 | | |
| | sadness | 0.79 | 0.59 | 0.68 | 32 | | |
| | accuracy | 0.72 | 280 | 0.442857 | | | |
| | macro avg | 0.75 | 0.72 | 0.72 | 280 | | |
| | weighted avg | 0.75 | 0.72 | 0.73 | 280 | |