End of training
Browse files- README.md +3 -1
- all_results.json +20 -0
- eval_results.json +15 -0
- train_results.json +8 -0
- trainer_state.json +0 -0
- training_eval_loss.png +0 -0
- training_loss.png +0 -0
- training_rewards_accuracies.png +0 -0
README.md
CHANGED
|
@@ -3,6 +3,8 @@ library_name: transformers
|
|
| 3 |
license: llama3.1
|
| 4 |
base_model: mlfoundations-dev/oh_teknium_scaling_down_random_0.4
|
| 5 |
tags:
|
|
|
|
|
|
|
| 6 |
- trl
|
| 7 |
- dpo
|
| 8 |
- llama-factory
|
|
@@ -17,7 +19,7 @@ should probably proofread and complete it, then remove this comment. -->
|
|
| 17 |
|
| 18 |
# simpo-oh_teknium_scaling_down_random_0.4
|
| 19 |
|
| 20 |
-
This model is a fine-tuned version of [mlfoundations-dev/oh_teknium_scaling_down_random_0.4](https://huggingface.co/mlfoundations-dev/oh_teknium_scaling_down_random_0.4) on
|
| 21 |
It achieves the following results on the evaluation set:
|
| 22 |
- Loss: 2.9306
|
| 23 |
- Rewards/chosen: -28.9839
|
|
|
|
| 3 |
license: llama3.1
|
| 4 |
base_model: mlfoundations-dev/oh_teknium_scaling_down_random_0.4
|
| 5 |
tags:
|
| 6 |
+
- llama-factory
|
| 7 |
+
- full
|
| 8 |
- trl
|
| 9 |
- dpo
|
| 10 |
- llama-factory
|
|
|
|
| 19 |
|
| 20 |
# simpo-oh_teknium_scaling_down_random_0.4
|
| 21 |
|
| 22 |
+
This model is a fine-tuned version of [mlfoundations-dev/oh_teknium_scaling_down_random_0.4](https://huggingface.co/mlfoundations-dev/oh_teknium_scaling_down_random_0.4) on the mlfoundations-dev/gemma2-ultrafeedback-armorm dataset.
|
| 23 |
It achieves the following results on the evaluation set:
|
| 24 |
- Loss: 2.9306
|
| 25 |
- Rewards/chosen: -28.9839
|
all_results.json
ADDED
|
@@ -0,0 +1,20 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 0.9997172745264349,
|
| 3 |
+
"eval_logits/chosen": -1.0814050436019897,
|
| 4 |
+
"eval_logits/rejected": -1.0757393836975098,
|
| 5 |
+
"eval_logps/chosen": -2.8983895778656006,
|
| 6 |
+
"eval_logps/rejected": -3.4255356788635254,
|
| 7 |
+
"eval_loss": 2.930593490600586,
|
| 8 |
+
"eval_rewards/accuracies": 0.7573529481887817,
|
| 9 |
+
"eval_rewards/chosen": -28.983896255493164,
|
| 10 |
+
"eval_rewards/margins": 5.271461486816406,
|
| 11 |
+
"eval_rewards/rejected": -34.25535583496094,
|
| 12 |
+
"eval_runtime": 100.6112,
|
| 13 |
+
"eval_samples_per_second": 29.609,
|
| 14 |
+
"eval_steps_per_second": 1.859,
|
| 15 |
+
"total_flos": 134366991482880.0,
|
| 16 |
+
"train_loss": 3.5634871910060695,
|
| 17 |
+
"train_runtime": 7608.7168,
|
| 18 |
+
"train_samples_per_second": 7.438,
|
| 19 |
+
"train_steps_per_second": 0.058
|
| 20 |
+
}
|
eval_results.json
ADDED
|
@@ -0,0 +1,15 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 0.9997172745264349,
|
| 3 |
+
"eval_logits/chosen": -1.0814050436019897,
|
| 4 |
+
"eval_logits/rejected": -1.0757393836975098,
|
| 5 |
+
"eval_logps/chosen": -2.8983895778656006,
|
| 6 |
+
"eval_logps/rejected": -3.4255356788635254,
|
| 7 |
+
"eval_loss": 2.930593490600586,
|
| 8 |
+
"eval_rewards/accuracies": 0.7573529481887817,
|
| 9 |
+
"eval_rewards/chosen": -28.983896255493164,
|
| 10 |
+
"eval_rewards/margins": 5.271461486816406,
|
| 11 |
+
"eval_rewards/rejected": -34.25535583496094,
|
| 12 |
+
"eval_runtime": 100.6112,
|
| 13 |
+
"eval_samples_per_second": 29.609,
|
| 14 |
+
"eval_steps_per_second": 1.859
|
| 15 |
+
}
|
train_results.json
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 0.9997172745264349,
|
| 3 |
+
"total_flos": 134366991482880.0,
|
| 4 |
+
"train_loss": 3.5634871910060695,
|
| 5 |
+
"train_runtime": 7608.7168,
|
| 6 |
+
"train_samples_per_second": 7.438,
|
| 7 |
+
"train_steps_per_second": 0.058
|
| 8 |
+
}
|
trainer_state.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
training_eval_loss.png
ADDED
|
training_loss.png
ADDED
|
training_rewards_accuracies.png
ADDED
|