Instructions to use chchen/Llama3-OpenBioLLM-8B-PsyCourse-fold6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use chchen/Llama3-OpenBioLLM-8B-PsyCourse-fold6 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("aaditya/Llama3-OpenBioLLM-8B") model = PeftModel.from_pretrained(base_model, "chchen/Llama3-OpenBioLLM-8B-PsyCourse-fold6") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 950
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 83945296
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:83077e2e5cdaf14c57daa5744e97d900246db4ff622caa6fe461d4b98d289926
|
| 3 |
size 83945296
|
trainer_log.jsonl
CHANGED
|
@@ -106,3 +106,9 @@
|
|
| 106 |
{"current_steps": 890, "total_steps": 3325, "loss": 0.0371, "lr": 9.168978307238594e-05, "epoch": 1.3370892018779343, "percentage": 26.77, "elapsed_time": "3:44:35", "remaining_time": "10:14:28"}
|
| 107 |
{"current_steps": 900, "total_steps": 3325, "loss": 0.0291, "lr": 9.13976525394717e-05, "epoch": 1.352112676056338, "percentage": 27.07, "elapsed_time": "3:46:27", "remaining_time": "10:10:09"}
|
| 108 |
{"current_steps": 900, "total_steps": 3325, "eval_loss": 0.0397120825946331, "epoch": 1.352112676056338, "percentage": 27.07, "elapsed_time": "3:50:16", "remaining_time": "10:20:28"}
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 106 |
{"current_steps": 890, "total_steps": 3325, "loss": 0.0371, "lr": 9.168978307238594e-05, "epoch": 1.3370892018779343, "percentage": 26.77, "elapsed_time": "3:44:35", "remaining_time": "10:14:28"}
|
| 107 |
{"current_steps": 900, "total_steps": 3325, "loss": 0.0291, "lr": 9.13976525394717e-05, "epoch": 1.352112676056338, "percentage": 27.07, "elapsed_time": "3:46:27", "remaining_time": "10:10:09"}
|
| 108 |
{"current_steps": 900, "total_steps": 3325, "eval_loss": 0.0397120825946331, "epoch": 1.352112676056338, "percentage": 27.07, "elapsed_time": "3:50:16", "remaining_time": "10:20:28"}
|
| 109 |
+
{"current_steps": 910, "total_steps": 3325, "loss": 0.0295, "lr": 9.110095797864263e-05, "epoch": 1.3671361502347419, "percentage": 27.37, "elapsed_time": "3:52:09", "remaining_time": "10:16:06"}
|
| 110 |
+
{"current_steps": 920, "total_steps": 3325, "loss": 0.0317, "lr": 9.079973210002051e-05, "epoch": 1.3821596244131455, "percentage": 27.67, "elapsed_time": "3:53:58", "remaining_time": "10:11:39"}
|
| 111 |
+
{"current_steps": 930, "total_steps": 3325, "loss": 0.044, "lr": 9.049400811329807e-05, "epoch": 1.3971830985915492, "percentage": 27.97, "elapsed_time": "3:55:49", "remaining_time": "10:07:19"}
|
| 112 |
+
{"current_steps": 940, "total_steps": 3325, "loss": 0.0267, "lr": 9.01838197240775e-05, "epoch": 1.412206572769953, "percentage": 28.27, "elapsed_time": "3:57:38", "remaining_time": "10:02:58"}
|
| 113 |
+
{"current_steps": 950, "total_steps": 3325, "loss": 0.0373, "lr": 8.986920113015461e-05, "epoch": 1.4272300469483568, "percentage": 28.57, "elapsed_time": "3:59:28", "remaining_time": "9:58:40"}
|
| 114 |
+
{"current_steps": 950, "total_steps": 3325, "eval_loss": 0.03974553570151329, "epoch": 1.4272300469483568, "percentage": 28.57, "elapsed_time": "4:03:20", "remaining_time": "10:08:20"}
|