Instructions to use sujalgawas/codegemma-2b-code-reviewer_V1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sujalgawas/codegemma-2b-code-reviewer_V1 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("sujalgawas/codegemma-2b-code-reviewer_V1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 5400
Browse files- adapter_model.safetensors +1 -1
- last-checkpoint/adapter_config.json +2 -2
- last-checkpoint/adapter_model.safetensors +1 -1
- last-checkpoint/optimizer.pt +1 -1
- last-checkpoint/rng_state_0.pth +1 -1
- last-checkpoint/rng_state_1.pth +1 -1
- last-checkpoint/scaler.pt +1 -1
- last-checkpoint/scheduler.pt +1 -1
- last-checkpoint/trainer_state.json +5 -449
- last-checkpoint/training_args.bin +1 -1
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|
| 5339 |
}
|
| 5340 |
],
|
| 5341 |
"logging_steps": 10,
|
| 5342 |
+
"max_steps": 5806,
|
| 5343 |
"num_input_tokens_seen": 0,
|
| 5344 |
+
"num_train_epochs": 1,
|
| 5345 |
"save_steps": 200,
|
| 5346 |
"stateful_callbacks": {
|
| 5347 |
"TrainerControl": {
|
|
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|
| 5355 |
"attributes": {}
|
| 5356 |
}
|
| 5357 |
},
|
| 5358 |
+
"total_flos": 7.887012992552796e+17,
|
| 5359 |
"train_batch_size": 2,
|
| 5360 |
"trial_name": null,
|
| 5361 |
"trial_params": null
|
last-checkpoint/training_args.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 5777
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e193b6114ef398d374d4a4437acc56d06a32e2263d65fa1d64344fb64467f82c
|
| 3 |
size 5777
|