Instructions to use chchen/Qwen2.5-7B-Instruct-PsyCourse-fold7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use chchen/Qwen2.5-7B-Instruct-PsyCourse-fold7 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-7B-Instruct") model = PeftModel.from_pretrained(base_model, "chchen/Qwen2.5-7B-Instruct-PsyCourse-fold7") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 2350
Browse files- adapter_model.safetensors +1 -1
- trainer_log.jsonl +6 -0
adapter_model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 80792096
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9aeb5e82418b92a14acb927cedf31a37dd907a17a541accbd1b2a59ee524543a
|
| 3 |
size 80792096
|
trainer_log.jsonl
CHANGED
|
@@ -274,3 +274,9 @@
|
|
| 274 |
{"current_steps": 2290, "total_steps": 3245, "loss": 0.0072, "lr": 2.4150817749699496e-05, "epoch": 3.5244324740284725, "percentage": 70.57, "elapsed_time": "7:06:39", "remaining_time": "2:57:55"}
|
| 275 |
{"current_steps": 2300, "total_steps": 3245, "loss": 0.0098, "lr": 2.3691845207919357e-05, "epoch": 3.5398230088495577, "percentage": 70.88, "elapsed_time": "7:08:00", "remaining_time": "2:55:51"}
|
| 276 |
{"current_steps": 2300, "total_steps": 3245, "eval_loss": 0.04005374014377594, "epoch": 3.5398230088495577, "percentage": 70.88, "elapsed_time": "7:10:34", "remaining_time": "2:56:54"}
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 274 |
{"current_steps": 2290, "total_steps": 3245, "loss": 0.0072, "lr": 2.4150817749699496e-05, "epoch": 3.5244324740284725, "percentage": 70.57, "elapsed_time": "7:06:39", "remaining_time": "2:57:55"}
|
| 275 |
{"current_steps": 2300, "total_steps": 3245, "loss": 0.0098, "lr": 2.3691845207919357e-05, "epoch": 3.5398230088495577, "percentage": 70.88, "elapsed_time": "7:08:00", "remaining_time": "2:55:51"}
|
| 276 |
{"current_steps": 2300, "total_steps": 3245, "eval_loss": 0.04005374014377594, "epoch": 3.5398230088495577, "percentage": 70.88, "elapsed_time": "7:10:34", "remaining_time": "2:56:54"}
|
| 277 |
+
{"current_steps": 2310, "total_steps": 3245, "loss": 0.0119, "lr": 2.3235917897135934e-05, "epoch": 3.5552135436706425, "percentage": 71.19, "elapsed_time": "7:11:59", "remaining_time": "2:54:51"}
|
| 278 |
+
{"current_steps": 2320, "total_steps": 3245, "loss": 0.0125, "lr": 2.2783088592011303e-05, "epoch": 3.5706040784917277, "percentage": 71.49, "elapsed_time": "7:13:19", "remaining_time": "2:52:46"}
|
| 279 |
+
{"current_steps": 2330, "total_steps": 3245, "loss": 0.0089, "lr": 2.233340970860608e-05, "epoch": 3.5859946133128124, "percentage": 71.8, "elapsed_time": "7:14:40", "remaining_time": "2:50:41"}
|
| 280 |
+
{"current_steps": 2340, "total_steps": 3245, "loss": 0.0114, "lr": 2.1886933298312125e-05, "epoch": 3.6013851481338977, "percentage": 72.11, "elapsed_time": "7:16:01", "remaining_time": "2:48:38"}
|
| 281 |
+
{"current_steps": 2350, "total_steps": 3245, "loss": 0.0042, "lr": 2.1443711041827503e-05, "epoch": 3.616775682954983, "percentage": 72.42, "elapsed_time": "7:17:22", "remaining_time": "2:46:34"}
|
| 282 |
+
{"current_steps": 2350, "total_steps": 3245, "eval_loss": 0.040071211755275726, "epoch": 3.616775682954983, "percentage": 72.42, "elapsed_time": "7:19:55", "remaining_time": "2:47:32"}
|