Instructions to use igorktech/hibial-bert-i3-mlm-v0.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use igorktech/hibial-bert-i3-mlm-v0.1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="igorktech/hibial-bert-i3-mlm-v0.1", trust_remote_code=True)# Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("igorktech/hibial-bert-i3-mlm-v0.1", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
End of training
Browse files- README.md +2 -1
- all_results.json +8 -0
- train_results.json +8 -0
- trainer_state.json +628 -0
README.md
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---
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tags:
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- generated_from_trainer
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model-index:
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# hibial-bert-i3-mlm
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-
This model
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## Model description
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---
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base_model: /content/hier-bert-pytorch/data/hibial-model
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tags:
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- generated_from_trainer
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model-index:
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# hibial-bert-i3-mlm
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This model is a fine-tuned version of [/content/hier-bert-pytorch/data/hibial-model](https://huggingface.co//content/hier-bert-pytorch/data/hibial-model) on an unknown dataset.
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## Model description
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all_results.json
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{
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"epoch": 0.31,
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"train_loss": 3.758148254394531,
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"train_runtime": 13724.031,
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"train_samples": 4129855,
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"train_samples_per_second": 93.267,
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"train_steps_per_second": 0.364
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}
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train_results.json
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{
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"epoch": 0.31,
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+
"train_loss": 3.758148254394531,
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"train_runtime": 13724.031,
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+
"train_samples": 4129855,
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"train_samples_per_second": 93.267,
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"train_steps_per_second": 0.364
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}
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trainer_state.json
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| 1 |
+
{
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| 2 |
+
"best_metric": null,
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"best_model_checkpoint": null,
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"epoch": 0.3099381673356165,
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"eval_steps": 500,
|
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"global_step": 5000,
|
| 7 |
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"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
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{
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| 12 |
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"epoch": 0.0,
|
| 13 |
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"learning_rate": 2e-05,
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| 14 |
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"loss": 9.7906,
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| 15 |
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"step": 50
|
| 16 |
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},
|
| 17 |
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{
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| 18 |
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"epoch": 0.01,
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| 19 |
+
"learning_rate": 4e-05,
|
| 20 |
+
"loss": 7.9188,
|
| 21 |
+
"step": 100
|
| 22 |
+
},
|
| 23 |
+
{
|
| 24 |
+
"epoch": 0.01,
|
| 25 |
+
"learning_rate": 6e-05,
|
| 26 |
+
"loss": 6.8487,
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| 27 |
+
"step": 150
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| 28 |
+
},
|
| 29 |
+
{
|
| 30 |
+
"epoch": 0.01,
|
| 31 |
+
"learning_rate": 8e-05,
|
| 32 |
+
"loss": 6.0994,
|
| 33 |
+
"step": 200
|
| 34 |
+
},
|
| 35 |
+
{
|
| 36 |
+
"epoch": 0.02,
|
| 37 |
+
"learning_rate": 0.0001,
|
| 38 |
+
"loss": 5.7442,
|
| 39 |
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"step": 250
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| 40 |
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},
|
| 41 |
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{
|
| 42 |
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"epoch": 0.02,
|
| 43 |
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"learning_rate": 0.00012,
|
| 44 |
+
"loss": 5.5492,
|
| 45 |
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"step": 300
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| 46 |
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},
|
| 47 |
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{
|
| 48 |
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"epoch": 0.02,
|
| 49 |
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"learning_rate": 0.00014000000000000001,
|
| 50 |
+
"loss": 5.4021,
|
| 51 |
+
"step": 350
|
| 52 |
+
},
|
| 53 |
+
{
|
| 54 |
+
"epoch": 0.02,
|
| 55 |
+
"learning_rate": 0.00016,
|
| 56 |
+
"loss": 5.2486,
|
| 57 |
+
"step": 400
|
| 58 |
+
},
|
| 59 |
+
{
|
| 60 |
+
"epoch": 0.03,
|
| 61 |
+
"learning_rate": 0.00017999999999999998,
|
| 62 |
+
"loss": 5.128,
|
| 63 |
+
"step": 450
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