End of training
Browse files- README.md +4 -1
- all_results.json +8 -8
- eval_results.json +4 -4
- train_results.json +4 -4
- trainer_state.json +8 -8
- training_loss.png +0 -0
README.md
CHANGED
@@ -4,6 +4,7 @@ license: llama3
|
|
4 |
base_model: meta-llama/Meta-Llama-3-8B-Instruct
|
5 |
tags:
|
6 |
- llama-factory
|
|
|
7 |
- generated_from_trainer
|
8 |
model-index:
|
9 |
- name: filtered_crafting_train_data
|
@@ -15,7 +16,9 @@ should probably proofread and complete it, then remove this comment. -->
|
|
15 |
|
16 |
# filtered_crafting_train_data
|
17 |
|
18 |
-
This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) on the
|
|
|
|
|
19 |
|
20 |
## Model description
|
21 |
|
|
|
4 |
base_model: meta-llama/Meta-Llama-3-8B-Instruct
|
5 |
tags:
|
6 |
- llama-factory
|
7 |
+
- full
|
8 |
- generated_from_trainer
|
9 |
model-index:
|
10 |
- name: filtered_crafting_train_data
|
|
|
16 |
|
17 |
# filtered_crafting_train_data
|
18 |
|
19 |
+
This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) on the identity and the filtered_crafting_train_data datasets.
|
20 |
+
It achieves the following results on the evaluation set:
|
21 |
+
- Loss: 0.3811
|
22 |
|
23 |
## Model description
|
24 |
|
all_results.json
CHANGED
@@ -1,12 +1,12 @@
|
|
1 |
{
|
2 |
"epoch": 1.0,
|
3 |
-
"eval_loss": 0.
|
4 |
-
"eval_runtime": 2.
|
5 |
-
"eval_samples_per_second": 29.
|
6 |
-
"eval_steps_per_second":
|
7 |
"total_flos": 15031437623296.0,
|
8 |
-
"train_loss": 0.
|
9 |
-
"train_runtime":
|
10 |
-
"train_samples_per_second": 7.
|
11 |
-
"train_steps_per_second": 0.
|
12 |
}
|
|
|
1 |
{
|
2 |
"epoch": 1.0,
|
3 |
+
"eval_loss": 0.38111764192581177,
|
4 |
+
"eval_runtime": 2.5129,
|
5 |
+
"eval_samples_per_second": 29.448,
|
6 |
+
"eval_steps_per_second": 1.99,
|
7 |
"total_flos": 15031437623296.0,
|
8 |
+
"train_loss": 0.6441171169281006,
|
9 |
+
"train_runtime": 469.4035,
|
10 |
+
"train_samples_per_second": 7.631,
|
11 |
+
"train_steps_per_second": 0.06
|
12 |
}
|
eval_results.json
CHANGED
@@ -1,7 +1,7 @@
|
|
1 |
{
|
2 |
"epoch": 1.0,
|
3 |
-
"eval_loss": 0.
|
4 |
-
"eval_runtime": 2.
|
5 |
-
"eval_samples_per_second": 29.
|
6 |
-
"eval_steps_per_second":
|
7 |
}
|
|
|
1 |
{
|
2 |
"epoch": 1.0,
|
3 |
+
"eval_loss": 0.38111764192581177,
|
4 |
+
"eval_runtime": 2.5129,
|
5 |
+
"eval_samples_per_second": 29.448,
|
6 |
+
"eval_steps_per_second": 1.99
|
7 |
}
|
train_results.json
CHANGED
@@ -1,8 +1,8 @@
|
|
1 |
{
|
2 |
"epoch": 1.0,
|
3 |
"total_flos": 15031437623296.0,
|
4 |
-
"train_loss": 0.
|
5 |
-
"train_runtime":
|
6 |
-
"train_samples_per_second": 7.
|
7 |
-
"train_steps_per_second": 0.
|
8 |
}
|
|
|
1 |
{
|
2 |
"epoch": 1.0,
|
3 |
"total_flos": 15031437623296.0,
|
4 |
+
"train_loss": 0.6441171169281006,
|
5 |
+
"train_runtime": 469.4035,
|
6 |
+
"train_samples_per_second": 7.631,
|
7 |
+
"train_steps_per_second": 0.06
|
8 |
}
|
trainer_state.json
CHANGED
@@ -10,26 +10,26 @@
|
|
10 |
"log_history": [
|
11 |
{
|
12 |
"epoch": 0.35714285714285715,
|
13 |
-
"grad_norm": 5.
|
14 |
"learning_rate": 8.18711994874345e-06,
|
15 |
-
"loss": 0.
|
16 |
"step": 10
|
17 |
},
|
18 |
{
|
19 |
"epoch": 0.7142857142857143,
|
20 |
-
"grad_norm": 4.
|
21 |
"learning_rate": 2.320866025105016e-06,
|
22 |
-
"loss": 0.
|
23 |
"step": 20
|
24 |
},
|
25 |
{
|
26 |
"epoch": 1.0,
|
27 |
"step": 28,
|
28 |
"total_flos": 15031437623296.0,
|
29 |
-
"train_loss": 0.
|
30 |
-
"train_runtime":
|
31 |
-
"train_samples_per_second": 7.
|
32 |
-
"train_steps_per_second": 0.
|
33 |
}
|
34 |
],
|
35 |
"logging_steps": 10,
|
|
|
10 |
"log_history": [
|
11 |
{
|
12 |
"epoch": 0.35714285714285715,
|
13 |
+
"grad_norm": 5.61340264828652,
|
14 |
"learning_rate": 8.18711994874345e-06,
|
15 |
+
"loss": 0.8511,
|
16 |
"step": 10
|
17 |
},
|
18 |
{
|
19 |
"epoch": 0.7142857142857143,
|
20 |
+
"grad_norm": 4.685360101473129,
|
21 |
"learning_rate": 2.320866025105016e-06,
|
22 |
+
"loss": 0.5519,
|
23 |
"step": 20
|
24 |
},
|
25 |
{
|
26 |
"epoch": 1.0,
|
27 |
"step": 28,
|
28 |
"total_flos": 15031437623296.0,
|
29 |
+
"train_loss": 0.6441171169281006,
|
30 |
+
"train_runtime": 469.4035,
|
31 |
+
"train_samples_per_second": 7.631,
|
32 |
+
"train_steps_per_second": 0.06
|
33 |
}
|
34 |
],
|
35 |
"logging_steps": 10,
|
training_loss.png
CHANGED
![]() |
![]() |