End of training
Browse files- README.md +4 -1
- all_results.json +5 -5
- eval_results.json +2 -2
- train_results.json +3 -3
- trainer_state.json +7 -7
- training_loss.png +0 -0
README.md
CHANGED
|
@@ -4,6 +4,7 @@ license: llama3
|
|
| 4 |
base_model: meta-llama/Meta-Llama-3-70B-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-3-70B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-70B-Instruct) on the
|
|
|
|
|
|
|
| 19 |
|
| 20 |
## Model description
|
| 21 |
|
|
|
|
| 4 |
base_model: meta-llama/Meta-Llama-3-70B-Instruct
|
| 5 |
tags:
|
| 6 |
- llama-factory
|
| 7 |
+
- lora
|
| 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-3-70B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-70B-Instruct) on the identity and the filtered_crafting_train_data datasets.
|
| 20 |
+
It achieves the following results on the evaluation set:
|
| 21 |
+
- Loss: 0.3454
|
| 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": 15.
|
| 5 |
"eval_samples_per_second": 4.891,
|
| 6 |
"eval_steps_per_second": 0.661,
|
| 7 |
"total_flos": 2776730917928960.0,
|
| 8 |
-
"train_loss": 0.
|
| 9 |
-
"train_runtime":
|
| 10 |
-
"train_samples_per_second": 1.
|
| 11 |
"train_steps_per_second": 0.012
|
| 12 |
}
|
|
|
|
| 1 |
{
|
| 2 |
"epoch": 1.0,
|
| 3 |
+
"eval_loss": 0.3453544080257416,
|
| 4 |
+
"eval_runtime": 15.13,
|
| 5 |
"eval_samples_per_second": 4.891,
|
| 6 |
"eval_steps_per_second": 0.661,
|
| 7 |
"total_flos": 2776730917928960.0,
|
| 8 |
+
"train_loss": 0.6437431148120335,
|
| 9 |
+
"train_runtime": 2315.5194,
|
| 10 |
+
"train_samples_per_second": 1.547,
|
| 11 |
"train_steps_per_second": 0.012
|
| 12 |
}
|
eval_results.json
CHANGED
|
@@ -1,7 +1,7 @@
|
|
| 1 |
{
|
| 2 |
"epoch": 1.0,
|
| 3 |
-
"eval_loss": 0.
|
| 4 |
-
"eval_runtime": 15.
|
| 5 |
"eval_samples_per_second": 4.891,
|
| 6 |
"eval_steps_per_second": 0.661
|
| 7 |
}
|
|
|
|
| 1 |
{
|
| 2 |
"epoch": 1.0,
|
| 3 |
+
"eval_loss": 0.3453544080257416,
|
| 4 |
+
"eval_runtime": 15.13,
|
| 5 |
"eval_samples_per_second": 4.891,
|
| 6 |
"eval_steps_per_second": 0.661
|
| 7 |
}
|
train_results.json
CHANGED
|
@@ -1,8 +1,8 @@
|
|
| 1 |
{
|
| 2 |
"epoch": 1.0,
|
| 3 |
"total_flos": 2776730917928960.0,
|
| 4 |
-
"train_loss": 0.
|
| 5 |
-
"train_runtime":
|
| 6 |
-
"train_samples_per_second": 1.
|
| 7 |
"train_steps_per_second": 0.012
|
| 8 |
}
|
|
|
|
| 1 |
{
|
| 2 |
"epoch": 1.0,
|
| 3 |
"total_flos": 2776730917928960.0,
|
| 4 |
+
"train_loss": 0.6437431148120335,
|
| 5 |
+
"train_runtime": 2315.5194,
|
| 6 |
+
"train_samples_per_second": 1.547,
|
| 7 |
"train_steps_per_second": 0.012
|
| 8 |
}
|
trainer_state.json
CHANGED
|
@@ -10,25 +10,25 @@
|
|
| 10 |
"log_history": [
|
| 11 |
{
|
| 12 |
"epoch": 0.35714285714285715,
|
| 13 |
-
"grad_norm": 0.
|
| 14 |
"learning_rate": 8.18711994874345e-05,
|
| 15 |
-
"loss": 0.
|
| 16 |
"step": 10
|
| 17 |
},
|
| 18 |
{
|
| 19 |
"epoch": 0.7142857142857143,
|
| 20 |
-
"grad_norm": 0.
|
| 21 |
"learning_rate": 2.3208660251050158e-05,
|
| 22 |
-
"loss": 0.
|
| 23 |
"step": 20
|
| 24 |
},
|
| 25 |
{
|
| 26 |
"epoch": 1.0,
|
| 27 |
"step": 28,
|
| 28 |
"total_flos": 2776730917928960.0,
|
| 29 |
-
"train_loss": 0.
|
| 30 |
-
"train_runtime":
|
| 31 |
-
"train_samples_per_second": 1.
|
| 32 |
"train_steps_per_second": 0.012
|
| 33 |
}
|
| 34 |
],
|
|
|
|
| 10 |
"log_history": [
|
| 11 |
{
|
| 12 |
"epoch": 0.35714285714285715,
|
| 13 |
+
"grad_norm": 0.4399825973383531,
|
| 14 |
"learning_rate": 8.18711994874345e-05,
|
| 15 |
+
"loss": 0.9002,
|
| 16 |
"step": 10
|
| 17 |
},
|
| 18 |
{
|
| 19 |
"epoch": 0.7142857142857143,
|
| 20 |
+
"grad_norm": 0.4417428627206288,
|
| 21 |
"learning_rate": 2.3208660251050158e-05,
|
| 22 |
+
"loss": 0.5484,
|
| 23 |
"step": 20
|
| 24 |
},
|
| 25 |
{
|
| 26 |
"epoch": 1.0,
|
| 27 |
"step": 28,
|
| 28 |
"total_flos": 2776730917928960.0,
|
| 29 |
+
"train_loss": 0.6437431148120335,
|
| 30 |
+
"train_runtime": 2315.5194,
|
| 31 |
+
"train_samples_per_second": 1.547,
|
| 32 |
"train_steps_per_second": 0.012
|
| 33 |
}
|
| 34 |
],
|
training_loss.png
CHANGED
|
|