Meta-Llama-3-8B-Instruct-rm-Anthropic-hh-rlhf-concateye
Browse files- README.md +30 -21
- adapter_model.safetensors +1 -1
- training_args.bin +1 -1
README.md
CHANGED
@@ -18,8 +18,8 @@ should probably proofread and complete it, then remove this comment. -->
|
|
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 None dataset.
|
20 |
It achieves the following results on the evaluation set:
|
21 |
-
- Loss: 0.
|
22 |
-
- Accuracy: 0.
|
23 |
|
24 |
## Model description
|
25 |
|
@@ -38,8 +38,8 @@ More information needed
|
|
38 |
### Training hyperparameters
|
39 |
|
40 |
The following hyperparameters were used during training:
|
41 |
-
- learning_rate:
|
42 |
-
- train_batch_size:
|
43 |
- eval_batch_size: 8
|
44 |
- seed: 42
|
45 |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
@@ -51,23 +51,32 @@ The following hyperparameters were used during training:
|
|
51 |
|
52 |
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|
53 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
|
54 |
-
| 0.
|
55 |
-
| 0.
|
56 |
-
| 0.
|
57 |
-
| 0.
|
58 |
-
| 0.
|
59 |
-
| 0.
|
60 |
-
| 0.
|
61 |
-
| 0.
|
62 |
-
| 0.
|
63 |
-
| 0.
|
64 |
-
| 0.
|
65 |
-
| 0.
|
66 |
-
| 0.
|
67 |
-
| 0.
|
68 |
-
| 0.
|
69 |
-
| 0.
|
70 |
-
| 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
71 |
|
72 |
|
73 |
### Framework versions
|
|
|
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 None dataset.
|
20 |
It achieves the following results on the evaluation set:
|
21 |
+
- Loss: 0.7036
|
22 |
+
- Accuracy: 0.5236
|
23 |
|
24 |
## Model description
|
25 |
|
|
|
38 |
### Training hyperparameters
|
39 |
|
40 |
The following hyperparameters were used during training:
|
41 |
+
- learning_rate: 5e-05
|
42 |
+
- train_batch_size: 16
|
43 |
- eval_batch_size: 8
|
44 |
- seed: 42
|
45 |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
|
|
51 |
|
52 |
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|
53 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
|
54 |
+
| 0.7293 | 0.08 | 128 | 0.7252 | 0.4850 |
|
55 |
+
| 0.7412 | 0.15 | 256 | 0.6925 | 0.5386 |
|
56 |
+
| 0.7182 | 0.23 | 384 | 0.6954 | 0.5327 |
|
57 |
+
| 0.6997 | 0.3 | 512 | 0.6941 | 0.5277 |
|
58 |
+
| 0.7547 | 0.38 | 640 | 0.6959 | 0.5279 |
|
59 |
+
| 0.7123 | 0.45 | 768 | 0.6993 | 0.5252 |
|
60 |
+
| 0.7281 | 0.53 | 896 | 0.6962 | 0.5275 |
|
61 |
+
| 0.7169 | 0.6 | 1024 | 0.6986 | 0.5156 |
|
62 |
+
| 0.7244 | 0.68 | 1152 | 0.6981 | 0.5125 |
|
63 |
+
| 0.7199 | 0.75 | 1280 | 0.7000 | 0.5060 |
|
64 |
+
| 0.7311 | 0.83 | 1408 | 0.6959 | 0.5140 |
|
65 |
+
| 0.7123 | 0.9 | 1536 | 0.6956 | 0.5154 |
|
66 |
+
| 0.7344 | 0.98 | 1664 | 0.6970 | 0.5100 |
|
67 |
+
| 0.7105 | 1.05 | 1792 | 0.6933 | 0.5219 |
|
68 |
+
| 0.6947 | 1.13 | 1920 | 0.6944 | 0.5259 |
|
69 |
+
| 0.7261 | 1.21 | 2048 | 0.6960 | 0.5256 |
|
70 |
+
| 0.6997 | 1.28 | 2176 | 0.6974 | 0.5188 |
|
71 |
+
| 0.7442 | 1.36 | 2304 | 0.6960 | 0.5163 |
|
72 |
+
| 0.7004 | 1.43 | 2432 | 0.6987 | 0.5286 |
|
73 |
+
| 0.7089 | 1.51 | 2560 | 0.6982 | 0.5288 |
|
74 |
+
| 0.7142 | 1.58 | 2688 | 0.7014 | 0.5154 |
|
75 |
+
| 0.7364 | 1.66 | 2816 | 0.6997 | 0.5202 |
|
76 |
+
| 0.6915 | 1.73 | 2944 | 0.7043 | 0.5200 |
|
77 |
+
| 0.7322 | 1.81 | 3072 | 0.7037 | 0.5229 |
|
78 |
+
| 0.7524 | 1.88 | 3200 | 0.7019 | 0.5219 |
|
79 |
+
| 0.7192 | 1.96 | 3328 | 0.7036 | 0.5236 |
|
80 |
|
81 |
|
82 |
### Framework versions
|
adapter_model.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 2115093984
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:eb0f4897fd7ba92e6d8a5f8984044d163b7b984c0be96e5e9b1bb16361d8b298
|
3 |
size 2115093984
|
training_args.bin
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 4664
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:48428abd1317f678f1e7d88f80b48701fd06496cb790b85bee6ce943ebedbdaa
|
3 |
size 4664
|