Model save
Browse files
README.md
CHANGED
@@ -1,23 +1,11 @@
|
|
1 |
---
|
2 |
tags:
|
3 |
- generated_from_trainer
|
4 |
-
datasets:
|
5 |
-
- kanishka/counterfactual-babylm-pipps-random_removal
|
6 |
metrics:
|
7 |
- accuracy
|
8 |
model-index:
|
9 |
- name: smolm-autoreg-bpe-counterfactual-babylm-pipps-random_removal-seed_211-1e-3
|
10 |
-
results:
|
11 |
-
- task:
|
12 |
-
name: Causal Language Modeling
|
13 |
-
type: text-generation
|
14 |
-
dataset:
|
15 |
-
name: kanishka/counterfactual-babylm-pipps-random_removal
|
16 |
-
type: kanishka/counterfactual-babylm-pipps-random_removal
|
17 |
-
metrics:
|
18 |
-
- name: Accuracy
|
19 |
-
type: accuracy
|
20 |
-
value: 0.40988659662430754
|
21 |
---
|
22 |
|
23 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
@@ -25,10 +13,10 @@ should probably proofread and complete it, then remove this comment. -->
|
|
25 |
|
26 |
# smolm-autoreg-bpe-counterfactual-babylm-pipps-random_removal-seed_211-1e-3
|
27 |
|
28 |
-
This model was trained from scratch on
|
29 |
It achieves the following results on the evaluation set:
|
30 |
-
- Loss: 3.
|
31 |
-
- Accuracy: 0.
|
32 |
|
33 |
## Model description
|
34 |
|
@@ -50,7 +38,7 @@ The following hyperparameters were used during training:
|
|
50 |
- learning_rate: 0.001
|
51 |
- train_batch_size: 32
|
52 |
- eval_batch_size: 64
|
53 |
-
- seed:
|
54 |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
55 |
- lr_scheduler_type: linear
|
56 |
- lr_scheduler_warmup_steps: 32000
|
@@ -61,26 +49,26 @@ The following hyperparameters were used during training:
|
|
61 |
|
62 |
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|
63 |
|:-------------:|:-----:|:------:|:---------------:|:--------:|
|
64 |
-
| 3.
|
65 |
-
| 3.
|
66 |
-
| 3.
|
67 |
-
| 3.
|
68 |
-
| 3.
|
69 |
-
| 3.
|
70 |
-
| 3.
|
71 |
-
| 3.
|
72 |
-
| 2.
|
73 |
-
| 2.
|
74 |
-
| 2.
|
75 |
-
| 2.
|
76 |
-
| 2.
|
77 |
-
| 2.
|
78 |
-
| 2.
|
79 |
-
| 2.
|
80 |
-
| 2.
|
81 |
-
| 2.
|
82 |
-
| 2.
|
83 |
-
| 2.
|
84 |
|
85 |
|
86 |
### Framework versions
|
|
|
1 |
---
|
2 |
tags:
|
3 |
- generated_from_trainer
|
|
|
|
|
4 |
metrics:
|
5 |
- accuracy
|
6 |
model-index:
|
7 |
- name: smolm-autoreg-bpe-counterfactual-babylm-pipps-random_removal-seed_211-1e-3
|
8 |
+
results: []
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
9 |
---
|
10 |
|
11 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
|
|
13 |
|
14 |
# smolm-autoreg-bpe-counterfactual-babylm-pipps-random_removal-seed_211-1e-3
|
15 |
|
16 |
+
This model was trained from scratch on an unknown dataset.
|
17 |
It achieves the following results on the evaluation set:
|
18 |
+
- Loss: 3.3976
|
19 |
+
- Accuracy: 0.4113
|
20 |
|
21 |
## Model description
|
22 |
|
|
|
38 |
- learning_rate: 0.001
|
39 |
- train_batch_size: 32
|
40 |
- eval_batch_size: 64
|
41 |
+
- seed: 1024
|
42 |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
43 |
- lr_scheduler_type: linear
|
44 |
- lr_scheduler_warmup_steps: 32000
|
|
|
49 |
|
50 |
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|
51 |
|:-------------:|:-----:|:------:|:---------------:|:--------:|
|
52 |
+
| 3.6046 | 1.0 | 18592 | 3.7833 | 0.3594 |
|
53 |
+
| 3.3837 | 2.0 | 37184 | 3.5854 | 0.3805 |
|
54 |
+
| 3.26 | 3.0 | 55776 | 3.4488 | 0.3931 |
|
55 |
+
| 3.1824 | 4.0 | 74368 | 3.4153 | 0.3986 |
|
56 |
+
| 3.1238 | 5.0 | 92960 | 3.3853 | 0.4028 |
|
57 |
+
| 3.0837 | 6.0 | 111552 | 3.3512 | 0.4060 |
|
58 |
+
| 3.0442 | 7.0 | 130144 | 3.3564 | 0.4065 |
|
59 |
+
| 3.0168 | 8.0 | 148736 | 3.3438 | 0.4083 |
|
60 |
+
| 2.9792 | 9.0 | 167328 | 3.3495 | 0.4090 |
|
61 |
+
| 2.9607 | 10.0 | 185920 | 3.3579 | 0.4091 |
|
62 |
+
| 2.9363 | 11.0 | 204512 | 3.3420 | 0.4116 |
|
63 |
+
| 2.9148 | 12.0 | 223104 | 3.3631 | 0.4106 |
|
64 |
+
| 2.893 | 13.0 | 241696 | 3.3609 | 0.4106 |
|
65 |
+
| 2.8729 | 14.0 | 260288 | 3.3806 | 0.4101 |
|
66 |
+
| 2.8543 | 15.0 | 278880 | 3.3685 | 0.4112 |
|
67 |
+
| 2.8352 | 16.0 | 297472 | 3.3734 | 0.4119 |
|
68 |
+
| 2.8131 | 17.0 | 316064 | 3.3759 | 0.4115 |
|
69 |
+
| 2.7949 | 18.0 | 334656 | 3.3842 | 0.4111 |
|
70 |
+
| 2.7756 | 19.0 | 353248 | 3.3893 | 0.4115 |
|
71 |
+
| 2.7607 | 20.0 | 371840 | 3.3976 | 0.4113 |
|
72 |
|
73 |
|
74 |
### Framework versions
|
model.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 391376736
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:35bd5e90710c1fbb0d52eb18e22fed29bd1cae09cdaa3848881769d6821a1244
|
3 |
size 391376736
|
runs/Feb18_22-02-10_phyl-ling-p01.la.utexas.edu/events.out.tfevents.1708315684.phyl-ling-p01.la.utexas.edu.4148918.0
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
-
size
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:b37b38de5b7d3a1e68a0d1114804426861f461d47efe270213ae4e9b27d95d4d
|
3 |
+
size 71055
|