Instructions to use NguyenAn05/qwen2.5-coder-logic-sft-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NguyenAn05/qwen2.5-coder-logic-sft-lora with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("NguyenAn05/qwen2.5-coder-logic-sft-lora", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 132, checkpoint
Browse files
last-checkpoint/adapter_model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 645975704
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:1caa400561e1c71e14aefa51e94805f46adb2f218e9d33b8fe12485c323f4200
|
| 3 |
size 645975704
|
last-checkpoint/optimizer.pt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1292181937
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:8268f8ded77d158c572d15c88b371cc9121ae2f1a5114e7e7ad1d27f28211259
|
| 3 |
size 1292181937
|
last-checkpoint/rng_state.pth
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 14443
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:5c30a770bcbcfc00b7e9dce936d31f06095a9aab511e27758e5de39bc7ad2559
|
| 3 |
size 14443
|
last-checkpoint/scheduler.pt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1263
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:5b56aeeb042fb16a26b3bd79705aca1fbd9b4be53f12657c4e4d0b511d1f9f0a
|
| 3 |
size 1263
|
last-checkpoint/trainer_state.json
CHANGED
|
@@ -2,9 +2,9 @@
|
|
| 2 |
"best_global_step": 120,
|
| 3 |
"best_metric": 0.12572850286960602,
|
| 4 |
"best_model_checkpoint": "models/qwen2.5-coder-logic-sft-lora/checkpoint-120",
|
| 5 |
-
"epoch":
|
| 6 |
"eval_steps": 20,
|
| 7 |
-
"global_step":
|
| 8 |
"is_hyper_param_search": false,
|
| 9 |
"is_local_process_zero": true,
|
| 10 |
"is_world_process_zero": true,
|
|
@@ -140,6 +140,13 @@
|
|
| 140 |
"eval_samples_per_second": 10.525,
|
| 141 |
"eval_steps_per_second": 1.346,
|
| 142 |
"step": 120
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 143 |
}
|
| 144 |
],
|
| 145 |
"logging_steps": 10,
|
|
@@ -154,12 +161,12 @@
|
|
| 154 |
"should_evaluate": false,
|
| 155 |
"should_log": false,
|
| 156 |
"should_save": true,
|
| 157 |
-
"should_training_stop":
|
| 158 |
},
|
| 159 |
"attributes": {}
|
| 160 |
}
|
| 161 |
},
|
| 162 |
-
"total_flos":
|
| 163 |
"train_batch_size": 8,
|
| 164 |
"trial_name": null,
|
| 165 |
"trial_params": null
|
|
|
|
| 2 |
"best_global_step": 120,
|
| 3 |
"best_metric": 0.12572850286960602,
|
| 4 |
"best_model_checkpoint": "models/qwen2.5-coder-logic-sft-lora/checkpoint-120",
|
| 5 |
+
"epoch": 3.0,
|
| 6 |
"eval_steps": 20,
|
| 7 |
+
"global_step": 132,
|
| 8 |
"is_hyper_param_search": false,
|
| 9 |
"is_local_process_zero": true,
|
| 10 |
"is_world_process_zero": true,
|
|
|
|
| 140 |
"eval_samples_per_second": 10.525,
|
| 141 |
"eval_steps_per_second": 1.346,
|
| 142 |
"step": 120
|
| 143 |
+
},
|
| 144 |
+
{
|
| 145 |
+
"epoch": 2.9655172413793105,
|
| 146 |
+
"grad_norm": 0.13226890563964844,
|
| 147 |
+
"learning_rate": 2.7095433213097933e-08,
|
| 148 |
+
"loss": 0.121,
|
| 149 |
+
"step": 130
|
| 150 |
}
|
| 151 |
],
|
| 152 |
"logging_steps": 10,
|
|
|
|
| 161 |
"should_evaluate": false,
|
| 162 |
"should_log": false,
|
| 163 |
"should_save": true,
|
| 164 |
+
"should_training_stop": true
|
| 165 |
},
|
| 166 |
"attributes": {}
|
| 167 |
}
|
| 168 |
},
|
| 169 |
+
"total_flos": 2.0984665235003904e+17,
|
| 170 |
"train_batch_size": 8,
|
| 171 |
"trial_name": null,
|
| 172 |
"trial_params": null
|