Instructions to use joseph10/tiny-bert-sst2-distilled with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use joseph10/tiny-bert-sst2-distilled with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="joseph10/tiny-bert-sst2-distilled")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("joseph10/tiny-bert-sst2-distilled") model = AutoModelForSequenceClassification.from_pretrained("joseph10/tiny-bert-sst2-distilled") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 7
Browse files- logs/events.out.tfevents.1701760669.joseph_legion.10272.19 +2 -2
- model.safetensors +1 -1
- run-18/checkpoint-3689/config.json +34 -0
- run-18/checkpoint-3689/model.safetensors +3 -0
- run-18/checkpoint-3689/optimizer.pt +3 -0
- run-18/checkpoint-3689/rng_state.pth +3 -0
- run-18/checkpoint-3689/scheduler.pt +3 -0
- run-18/checkpoint-3689/special_tokens_map.json +7 -0
- run-18/checkpoint-3689/tokenizer.json +0 -0
- run-18/checkpoint-3689/tokenizer_config.json +57 -0
- run-18/checkpoint-3689/trainer_state.json +129 -0
- run-18/checkpoint-3689/training_args.bin +3 -0
- run-18/checkpoint-3689/vocab.txt +0 -0
logs/events.out.tfevents.1701760669.joseph_legion.10272.19
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model.safetensors
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run-18/checkpoint-3689/config.json
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run-18/checkpoint-3689/optimizer.pt
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run-18/checkpoint-3689/tokenizer.json
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run-18/checkpoint-3689/tokenizer_config.json
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|
| 111 |
+
"eval_runtime": 1.8403,
|
| 112 |
+
"eval_samples_per_second": 473.833,
|
| 113 |
+
"eval_steps_per_second": 3.804,
|
| 114 |
+
"step": 3689
|
| 115 |
+
}
|
| 116 |
+
],
|
| 117 |
+
"logging_steps": 500,
|
| 118 |
+
"max_steps": 4743,
|
| 119 |
+
"num_train_epochs": 9,
|
| 120 |
+
"save_steps": 500,
|
| 121 |
+
"total_flos": 56626835675700.0,
|
| 122 |
+
"trial_name": null,
|
| 123 |
+
"trial_params": {
|
| 124 |
+
"alpha": 0.612333452003034,
|
| 125 |
+
"learning_rate": 0.00012896640964546737,
|
| 126 |
+
"num_train_epochs": 9,
|
| 127 |
+
"temperature": 21
|
| 128 |
+
}
|
| 129 |
+
}
|
run-18/checkpoint-3689/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d11ae7f69a6836e22ab7ce08bf09b6029ed79c5f0a056488527f9d7fd818e4b8
|
| 3 |
+
size 4664
|
run-18/checkpoint-3689/vocab.txt
ADDED
|
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|
|
|