koshirowada
commited on
Commit
•
ae7ff39
1
Parent(s):
e0d1fe2
Initial model upload
Browse files- README.md +36 -38
- logs/events.out.tfevents.1731925396.05fd0bfb43a8.1118.1 +3 -0
- model.safetensors +1 -1
- tokenizer.json +2 -16
- training_args.bin +1 -1
README.md
CHANGED
@@ -7,8 +7,6 @@ tags:
|
|
7 |
model-index:
|
8 |
- name: pythia_160m_sft
|
9 |
results: []
|
10 |
-
datasets:
|
11 |
-
- tatsu-lab/alpaca_farm
|
12 |
---
|
13 |
|
14 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
@@ -18,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
|
|
18 |
|
19 |
This model is a fine-tuned version of [EleutherAI/pythia-160m](https://huggingface.co/EleutherAI/pythia-160m) on an unknown dataset.
|
20 |
It achieves the following results on the evaluation set:
|
21 |
-
- Loss:
|
22 |
|
23 |
## Model description
|
24 |
|
@@ -37,7 +35,7 @@ More information needed
|
|
37 |
### Training hyperparameters
|
38 |
|
39 |
The following hyperparameters were used during training:
|
40 |
-
- learning_rate: 2e-
|
41 |
- train_batch_size: 8
|
42 |
- eval_batch_size: 8
|
43 |
- seed: 42
|
@@ -50,39 +48,39 @@ The following hyperparameters were used during training:
|
|
50 |
|
51 |
| Training Loss | Epoch | Step | Validation Loss |
|
52 |
|:-------------:|:------:|:----:|:---------------:|
|
53 |
-
| 2.
|
54 |
-
| 2.
|
55 |
-
| 2.
|
56 |
-
| 2.
|
57 |
-
| 2.
|
58 |
-
| 2.
|
59 |
-
| 2.
|
60 |
-
| 2.
|
61 |
-
| 2.
|
62 |
-
| 2.
|
63 |
-
|
|
64 |
-
| 1.
|
65 |
-
| 1.
|
66 |
-
| 1.
|
67 |
-
| 1.
|
68 |
-
| 1.
|
69 |
-
| 1.
|
70 |
-
| 1.
|
71 |
-
| 1.
|
72 |
-
| 1.
|
73 |
-
| 1.
|
74 |
-
| 1.
|
75 |
-
| 1.
|
76 |
-
| 1.
|
77 |
-
| 1.
|
78 |
-
| 1.
|
79 |
-
| 1.
|
80 |
-
| 1.
|
81 |
-
| 1.
|
82 |
-
| 1.
|
83 |
-
| 1.
|
84 |
-
| 1.
|
85 |
-
| 1.
|
86 |
|
87 |
|
88 |
### Framework versions
|
@@ -90,4 +88,4 @@ The following hyperparameters were used during training:
|
|
90 |
- Transformers 4.46.2
|
91 |
- Pytorch 2.5.1+cu121
|
92 |
- Datasets 3.1.0
|
93 |
-
- Tokenizers 0.20.3
|
|
|
7 |
model-index:
|
8 |
- name: pythia_160m_sft
|
9 |
results: []
|
|
|
|
|
10 |
---
|
11 |
|
12 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
|
|
16 |
|
17 |
This model is a fine-tuned version of [EleutherAI/pythia-160m](https://huggingface.co/EleutherAI/pythia-160m) on an unknown dataset.
|
18 |
It achieves the following results on the evaluation set:
|
19 |
+
- Loss: 1.9831
|
20 |
|
21 |
## Model description
|
22 |
|
|
|
35 |
### Training hyperparameters
|
36 |
|
37 |
The following hyperparameters were used during training:
|
38 |
+
- learning_rate: 2e-06
|
39 |
- train_batch_size: 8
|
40 |
- eval_batch_size: 8
|
41 |
- seed: 42
|
|
|
48 |
|
49 |
| Training Loss | Epoch | Step | Validation Loss |
|
50 |
|:-------------:|:------:|:----:|:---------------:|
|
51 |
+
| 2.2935 | 0.0889 | 100 | 2.1426 |
|
52 |
+
| 2.153 | 0.1778 | 200 | 2.0977 |
|
53 |
+
| 2.1432 | 0.2667 | 300 | 2.0771 |
|
54 |
+
| 2.1131 | 0.3556 | 400 | 2.0633 |
|
55 |
+
| 2.0885 | 0.4444 | 500 | 2.0510 |
|
56 |
+
| 2.0956 | 0.5333 | 600 | 2.0403 |
|
57 |
+
| 2.0647 | 0.6222 | 700 | 2.0354 |
|
58 |
+
| 2.0498 | 0.7111 | 800 | 2.0273 |
|
59 |
+
| 2.0317 | 0.8 | 900 | 2.0202 |
|
60 |
+
| 2.0226 | 0.8889 | 1000 | 2.0150 |
|
61 |
+
| 1.992 | 0.9778 | 1100 | 2.0114 |
|
62 |
+
| 1.9639 | 1.0667 | 1200 | 2.0088 |
|
63 |
+
| 1.9302 | 1.1556 | 1300 | 2.0051 |
|
64 |
+
| 1.9381 | 1.2444 | 1400 | 2.0028 |
|
65 |
+
| 1.9595 | 1.3333 | 1500 | 2.0009 |
|
66 |
+
| 1.9325 | 1.4222 | 1600 | 1.9998 |
|
67 |
+
| 1.9481 | 1.5111 | 1700 | 1.9981 |
|
68 |
+
| 1.9572 | 1.6 | 1800 | 1.9956 |
|
69 |
+
| 1.9456 | 1.6889 | 1900 | 1.9944 |
|
70 |
+
| 1.9565 | 1.7778 | 2000 | 1.9922 |
|
71 |
+
| 1.9507 | 1.8667 | 2100 | 1.9905 |
|
72 |
+
| 1.9247 | 1.9556 | 2200 | 1.9881 |
|
73 |
+
| 1.8998 | 2.0444 | 2300 | 1.9874 |
|
74 |
+
| 1.9102 | 2.1333 | 2400 | 1.9873 |
|
75 |
+
| 1.8842 | 2.2222 | 2500 | 1.9876 |
|
76 |
+
| 1.876 | 2.3111 | 2600 | 1.9863 |
|
77 |
+
| 1.9001 | 2.4 | 2700 | 1.9856 |
|
78 |
+
| 1.8725 | 2.4889 | 2800 | 1.9859 |
|
79 |
+
| 1.868 | 2.5778 | 2900 | 1.9845 |
|
80 |
+
| 1.8803 | 2.6667 | 3000 | 1.9844 |
|
81 |
+
| 1.9002 | 2.7556 | 3100 | 1.9838 |
|
82 |
+
| 1.8941 | 2.8444 | 3200 | 1.9839 |
|
83 |
+
| 1.8548 | 2.9333 | 3300 | 1.9831 |
|
84 |
|
85 |
|
86 |
### Framework versions
|
|
|
88 |
- Transformers 4.46.2
|
89 |
- Pytorch 2.5.1+cu121
|
90 |
- Datasets 3.1.0
|
91 |
+
- Tokenizers 0.20.3
|
logs/events.out.tfevents.1731925396.05fd0bfb43a8.1118.1
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:dbf7485b9b2815e9a1d2a4fdbbb5b20b745cda81a8a88da56e9aed9d73315d75
|
3 |
+
size 21431
|
model.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 649308728
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:b16010f6fd8175f9600a0d54e1a8ffc3ac56d6a3f94c4f9f1f09a105106b9c8c
|
3 |
size 649308728
|
tokenizer.json
CHANGED
@@ -1,21 +1,7 @@
|
|
1 |
{
|
2 |
"version": "1.0",
|
3 |
-
"truncation":
|
4 |
-
|
5 |
-
"max_length": 512,
|
6 |
-
"strategy": "LongestFirst",
|
7 |
-
"stride": 0
|
8 |
-
},
|
9 |
-
"padding": {
|
10 |
-
"strategy": {
|
11 |
-
"Fixed": 512
|
12 |
-
},
|
13 |
-
"direction": "Right",
|
14 |
-
"pad_to_multiple_of": null,
|
15 |
-
"pad_id": 0,
|
16 |
-
"pad_type_id": 0,
|
17 |
-
"pad_token": "<|endoftext|>"
|
18 |
-
},
|
19 |
"added_tokens": [
|
20 |
{
|
21 |
"id": 0,
|
|
|
1 |
{
|
2 |
"version": "1.0",
|
3 |
+
"truncation": null,
|
4 |
+
"padding": null,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
5 |
"added_tokens": [
|
6 |
{
|
7 |
"id": 0,
|
training_args.bin
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 5240
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:3c05d15220df0d64e6af2e9e631e0c6bb6cedad273a907d2ae742da96528a778
|
3 |
size 5240
|