Instructions to use ucla-cmllab/llama-3-qlora-ultrachat-200k-processed-indicator-0.6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ucla-cmllab/llama-3-qlora-ultrachat-200k-processed-indicator-0.6 with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
Model save
Browse files
README.md
CHANGED
|
@@ -2,13 +2,10 @@
|
|
| 2 |
license: llama3
|
| 3 |
library_name: peft
|
| 4 |
tags:
|
| 5 |
-
- alignment-handbook
|
| 6 |
- trl
|
| 7 |
- sft
|
| 8 |
- generated_from_trainer
|
| 9 |
base_model: meta-llama/Meta-Llama-3-8B
|
| 10 |
-
datasets:
|
| 11 |
-
- yihanwang617/ultrachat_200k_processed_indicator_0.6_4k
|
| 12 |
model-index:
|
| 13 |
- name: llama-3-qlora-ultrachat-200k-processed-indicator-0.6
|
| 14 |
results: []
|
|
@@ -19,9 +16,9 @@ should probably proofread and complete it, then remove this comment. -->
|
|
| 19 |
|
| 20 |
# llama-3-qlora-ultrachat-200k-processed-indicator-0.6
|
| 21 |
|
| 22 |
-
This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B) on
|
| 23 |
It achieves the following results on the evaluation set:
|
| 24 |
-
- Loss: 1.
|
| 25 |
|
| 26 |
## Model description
|
| 27 |
|
|
@@ -58,13 +55,13 @@ The following hyperparameters were used during training:
|
|
| 58 |
|
| 59 |
| Training Loss | Epoch | Step | Validation Loss |
|
| 60 |
|:-------------:|:------:|:----:|:---------------:|
|
| 61 |
-
| 1.
|
| 62 |
|
| 63 |
|
| 64 |
### Framework versions
|
| 65 |
|
| 66 |
-
- PEFT 0.
|
| 67 |
- Transformers 4.40.1
|
| 68 |
-
- Pytorch 2.
|
| 69 |
-
- Datasets 2.
|
| 70 |
- Tokenizers 0.19.1
|
|
|
|
| 2 |
license: llama3
|
| 3 |
library_name: peft
|
| 4 |
tags:
|
|
|
|
| 5 |
- trl
|
| 6 |
- sft
|
| 7 |
- generated_from_trainer
|
| 8 |
base_model: meta-llama/Meta-Llama-3-8B
|
|
|
|
|
|
|
| 9 |
model-index:
|
| 10 |
- name: llama-3-qlora-ultrachat-200k-processed-indicator-0.6
|
| 11 |
results: []
|
|
|
|
| 16 |
|
| 17 |
# llama-3-qlora-ultrachat-200k-processed-indicator-0.6
|
| 18 |
|
| 19 |
+
This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B) on an unknown dataset.
|
| 20 |
It achieves the following results on the evaluation set:
|
| 21 |
+
- Loss: 1.0200
|
| 22 |
|
| 23 |
## Model description
|
| 24 |
|
|
|
|
| 55 |
|
| 56 |
| Training Loss | Epoch | Step | Validation Loss |
|
| 57 |
|:-------------:|:------:|:----:|:---------------:|
|
| 58 |
+
| 1.0052 | 0.9997 | 3247 | 1.0200 |
|
| 59 |
|
| 60 |
|
| 61 |
### Framework versions
|
| 62 |
|
| 63 |
+
- PEFT 0.11.1
|
| 64 |
- Transformers 4.40.1
|
| 65 |
+
- Pytorch 2.3.0+cu121
|
| 66 |
+
- Datasets 2.19.0
|
| 67 |
- Tokenizers 0.19.1
|
adapter_model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 2185327392
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e7f28f2416c31005af35616969facbde8fa70cda863715e5098dc5bdef731861
|
| 3 |
size 2185327392
|
all_results.json
CHANGED
|
@@ -1,14 +1,9 @@
|
|
| 1 |
{
|
| 2 |
"epoch": 0.9997305930800908,
|
| 3 |
-
"
|
| 4 |
-
"
|
| 5 |
-
"
|
| 6 |
-
"eval_samples_per_second": 6.137,
|
| 7 |
-
"eval_steps_per_second": 0.384,
|
| 8 |
-
"total_flos": 4.15615026158633e+16,
|
| 9 |
-
"train_loss": 1.0426253444200522,
|
| 10 |
-
"train_runtime": 139956.5138,
|
| 11 |
"train_samples": 207864,
|
| 12 |
-
"train_samples_per_second": 1.
|
| 13 |
"train_steps_per_second": 0.023
|
| 14 |
}
|
|
|
|
| 1 |
{
|
| 2 |
"epoch": 0.9997305930800908,
|
| 3 |
+
"total_flos": 3.805178921536717e+16,
|
| 4 |
+
"train_loss": 1.037105345344191,
|
| 5 |
+
"train_runtime": 142567.8806,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 6 |
"train_samples": 207864,
|
| 7 |
+
"train_samples_per_second": 1.458,
|
| 8 |
"train_steps_per_second": 0.023
|
| 9 |
}
|
runs/Aug21_00-57-59_illidan.cs.ucla.edu/events.out.tfevents.1724228253.illidan.cs.ucla.edu.1343562.0
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e01ea537d0aae403f681e6472d92012d2d197c24518ee52f33177a03e25f5628
|
| 3 |
+
size 142711
|
train_results.json
CHANGED
|
@@ -1,9 +1,9 @@
|
|
| 1 |
{
|
| 2 |
"epoch": 0.9997305930800908,
|
| 3 |
-
"total_flos":
|
| 4 |
-
"train_loss": 1.
|
| 5 |
-
"train_runtime":
|
| 6 |
"train_samples": 207864,
|
| 7 |
-
"train_samples_per_second": 1.
|
| 8 |
"train_steps_per_second": 0.023
|
| 9 |
}
|
|
|
|
| 1 |
{
|
| 2 |
"epoch": 0.9997305930800908,
|
| 3 |
+
"total_flos": 3.805178921536717e+16,
|
| 4 |
+
"train_loss": 1.037105345344191,
|
| 5 |
+
"train_runtime": 142567.8806,
|
| 6 |
"train_samples": 207864,
|
| 7 |
+
"train_samples_per_second": 1.458,
|
| 8 |
"train_steps_per_second": 0.023
|
| 9 |
}
|
trainer_state.json
CHANGED
|
The diff for this file is too large to render.
See raw diff
|
|
|