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eskayML
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interview_classifier

Text Classification
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Safetensors
distilbert
Generated from Trainer
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eskayML/interview_classifier

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Files changed (5) hide show
  1. README.md +24 -24
  2. config.json +1 -1
  3. model.safetensors +1 -1
  4. runs/Jun18_19-50-34_0c265ed1ed29/events.out.tfevents.1718740235.0c265ed1ed29.821.0 +0 -0
  5. training_args.bin +0 -0
README.md CHANGED
@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.1049
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- - Accuracy: 0.9682
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  ## Model description
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@@ -49,31 +49,31 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | No log | 1.0 | 79 | 2.2043 | 0.1720 |
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- | No log | 2.0 | 158 | 1.8878 | 0.4331 |
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- | No log | 3.0 | 237 | 1.4540 | 0.6624 |
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- | No log | 4.0 | 316 | 1.1512 | 0.7134 |
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- | No log | 5.0 | 395 | 0.8028 | 0.8153 |
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- | No log | 6.0 | 474 | 0.5610 | 0.8854 |
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- | 1.5247 | 7.0 | 553 | 0.4031 | 0.9299 |
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- | 1.5247 | 8.0 | 632 | 0.3275 | 0.9172 |
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- | 1.5247 | 9.0 | 711 | 0.2420 | 0.9363 |
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- | 1.5247 | 10.0 | 790 | 0.1941 | 0.9490 |
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- | 1.5247 | 11.0 | 869 | 0.1656 | 0.9682 |
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- | 1.5247 | 12.0 | 948 | 0.1444 | 0.9682 |
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- | 0.3164 | 13.0 | 1027 | 0.1325 | 0.9682 |
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- | 0.3164 | 14.0 | 1106 | 0.1194 | 0.9682 |
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- | 0.3164 | 15.0 | 1185 | 0.1145 | 0.9682 |
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- | 0.3164 | 16.0 | 1264 | 0.1138 | 0.9682 |
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- | 0.3164 | 17.0 | 1343 | 0.1101 | 0.9682 |
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- | 0.3164 | 18.0 | 1422 | 0.1074 | 0.9682 |
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- | 0.1327 | 19.0 | 1501 | 0.1050 | 0.9682 |
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- | 0.1327 | 20.0 | 1580 | 0.1049 | 0.9682 |
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  ### Framework versions
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- - Transformers 4.41.1
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  - Pytorch 2.3.0+cu121
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- - Datasets 2.19.2
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  - Tokenizers 0.19.1
 
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  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.1239
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+ - Accuracy: 0.9603
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | No log | 1.0 | 76 | 2.1645 | 0.1921 |
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+ | No log | 2.0 | 152 | 1.8505 | 0.4238 |
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+ | No log | 3.0 | 228 | 1.4303 | 0.6887 |
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+ | No log | 4.0 | 304 | 1.0770 | 0.7682 |
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+ | No log | 5.0 | 380 | 0.8012 | 0.8477 |
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+ | No log | 6.0 | 456 | 0.6188 | 0.8609 |
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+ | 1.4872 | 7.0 | 532 | 0.4291 | 0.9205 |
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+ | 1.4872 | 8.0 | 608 | 0.3219 | 0.9338 |
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+ | 1.4872 | 9.0 | 684 | 0.2561 | 0.9536 |
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+ | 1.4872 | 10.0 | 760 | 0.2071 | 0.9536 |
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+ | 1.4872 | 11.0 | 836 | 0.1758 | 0.9603 |
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+ | 1.4872 | 12.0 | 912 | 0.1486 | 0.9603 |
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+ | 1.4872 | 13.0 | 988 | 0.1443 | 0.9603 |
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+ | 0.3011 | 14.0 | 1064 | 0.1384 | 0.9603 |
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+ | 0.3011 | 15.0 | 1140 | 0.1377 | 0.9603 |
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+ | 0.3011 | 16.0 | 1216 | 0.1347 | 0.9603 |
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+ | 0.3011 | 17.0 | 1292 | 0.1267 | 0.9603 |
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+ | 0.3011 | 18.0 | 1368 | 0.1223 | 0.9603 |
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+ | 0.3011 | 19.0 | 1444 | 0.1256 | 0.9603 |
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+ | 0.1494 | 20.0 | 1520 | 0.1239 | 0.9603 |
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  ### Framework versions
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+ - Transformers 4.41.2
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  - Pytorch 2.3.0+cu121
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+ - Datasets 2.20.0
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  - Tokenizers 0.19.1
config.json CHANGED
@@ -44,6 +44,6 @@
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  "sinusoidal_pos_embds": false,
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  "tie_weights_": true,
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  "torch_dtype": "float32",
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- "transformers_version": "4.41.1",
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  "vocab_size": 30522
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  }
 
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  "sinusoidal_pos_embds": false,
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  "tie_weights_": true,
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  "torch_dtype": "float32",
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+ "transformers_version": "4.41.2",
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  "vocab_size": 30522
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  }
model.safetensors CHANGED
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  size 267857176
 
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runs/Jun18_19-50-34_0c265ed1ed29/events.out.tfevents.1718740235.0c265ed1ed29.821.0 ADDED
Binary file (13 kB). View file
 
training_args.bin CHANGED
Binary files a/training_args.bin and b/training_args.bin differ