End of training
Browse files
README.md
CHANGED
@@ -3,9 +3,15 @@ library_name: transformers
|
|
3 |
license: gemma
|
4 |
base_model: google/gemma-7b
|
5 |
tags:
|
|
|
6 |
- trl
|
7 |
- orpo
|
8 |
- generated_from_trainer
|
|
|
|
|
|
|
|
|
|
|
9 |
model-index:
|
10 |
- name: gemma-7b-borpo-low-quality-v4
|
11 |
results: []
|
@@ -16,7 +22,7 @@ should probably proofread and complete it, then remove this comment. -->
|
|
16 |
|
17 |
# gemma-7b-borpo-low-quality-v4
|
18 |
|
19 |
-
This model is a fine-tuned version of [google/gemma-7b](https://huggingface.co/google/gemma-7b) on
|
20 |
It achieves the following results on the evaluation set:
|
21 |
- Loss: 1.9080
|
22 |
- Rewards/chosen: -0.6019
|
|
|
3 |
license: gemma
|
4 |
base_model: google/gemma-7b
|
5 |
tags:
|
6 |
+
- alignment-handbook
|
7 |
- trl
|
8 |
- orpo
|
9 |
- generated_from_trainer
|
10 |
+
- trl
|
11 |
+
- orpo
|
12 |
+
- generated_from_trainer
|
13 |
+
datasets:
|
14 |
+
- silviasapora/low_quality_dpo7k
|
15 |
model-index:
|
16 |
- name: gemma-7b-borpo-low-quality-v4
|
17 |
results: []
|
|
|
22 |
|
23 |
# gemma-7b-borpo-low-quality-v4
|
24 |
|
25 |
+
This model is a fine-tuned version of [google/gemma-7b](https://huggingface.co/google/gemma-7b) on the silviasapora/low_quality_dpo7k dataset.
|
26 |
It achieves the following results on the evaluation set:
|
27 |
- Loss: 1.9080
|
28 |
- Rewards/chosen: -0.6019
|
all_results.json
CHANGED
@@ -1,5 +1,21 @@
|
|
1 |
{
|
2 |
"epoch": 2.9865871833084947,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
3 |
"total_flos": 0.0,
|
4 |
"train_loss": 1.686337627812536,
|
5 |
"train_runtime": 31593.308,
|
|
|
1 |
{
|
2 |
"epoch": 2.9865871833084947,
|
3 |
+
"eval_log_odds_chosen": 0.42297032475471497,
|
4 |
+
"eval_log_odds_ratio": -0.6477048993110657,
|
5 |
+
"eval_logits/chosen": 282.00848388671875,
|
6 |
+
"eval_logits/rejected": 247.6262664794922,
|
7 |
+
"eval_logps/chosen": -1.2038370370864868,
|
8 |
+
"eval_logps/rejected": -1.5014722347259521,
|
9 |
+
"eval_loss": 1.9079890251159668,
|
10 |
+
"eval_nll_loss": 1.5545235872268677,
|
11 |
+
"eval_rewards/accuracies": 0.6258992552757263,
|
12 |
+
"eval_rewards/chosen": -0.6019185185432434,
|
13 |
+
"eval_rewards/margins": 0.14881758391857147,
|
14 |
+
"eval_rewards/rejected": -0.7507361173629761,
|
15 |
+
"eval_runtime": 351.9295,
|
16 |
+
"eval_samples": 553,
|
17 |
+
"eval_samples_per_second": 1.571,
|
18 |
+
"eval_steps_per_second": 0.395,
|
19 |
"total_flos": 0.0,
|
20 |
"train_loss": 1.686337627812536,
|
21 |
"train_runtime": 31593.308,
|
config.json
CHANGED
@@ -24,6 +24,6 @@
|
|
24 |
"rope_theta": 10000.0,
|
25 |
"torch_dtype": "bfloat16",
|
26 |
"transformers_version": "4.44.2",
|
27 |
-
"use_cache":
|
28 |
"vocab_size": 256000
|
29 |
}
|
|
|
24 |
"rope_theta": 10000.0,
|
25 |
"torch_dtype": "bfloat16",
|
26 |
"transformers_version": "4.44.2",
|
27 |
+
"use_cache": true,
|
28 |
"vocab_size": 256000
|
29 |
}
|
eval_results.json
ADDED
@@ -0,0 +1,19 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 2.9865871833084947,
|
3 |
+
"eval_log_odds_chosen": 0.42297032475471497,
|
4 |
+
"eval_log_odds_ratio": -0.6477048993110657,
|
5 |
+
"eval_logits/chosen": 282.00848388671875,
|
6 |
+
"eval_logits/rejected": 247.6262664794922,
|
7 |
+
"eval_logps/chosen": -1.2038370370864868,
|
8 |
+
"eval_logps/rejected": -1.5014722347259521,
|
9 |
+
"eval_loss": 1.9079890251159668,
|
10 |
+
"eval_nll_loss": 1.5545235872268677,
|
11 |
+
"eval_rewards/accuracies": 0.6258992552757263,
|
12 |
+
"eval_rewards/chosen": -0.6019185185432434,
|
13 |
+
"eval_rewards/margins": 0.14881758391857147,
|
14 |
+
"eval_rewards/rejected": -0.7507361173629761,
|
15 |
+
"eval_runtime": 351.9295,
|
16 |
+
"eval_samples": 553,
|
17 |
+
"eval_samples_per_second": 1.571,
|
18 |
+
"eval_steps_per_second": 0.395
|
19 |
+
}
|
runs/Sep22_17-15-08_zizgpu06.cpu.stats.ox.ac.uk/events.out.tfevents.1727054119.zizgpu06.cpu.stats.ox.ac.uk.3932700.1
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:457332324a3663880b08e48486fd6d39ad2e5e89fd0073dfc41f5cef9fda98e2
|
3 |
+
size 997
|