Model save
Browse files- README.md +84 -0
- generation_config.json +7 -0
- model.safetensors +1 -1
README.md
ADDED
@@ -0,0 +1,84 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
license: apache-2.0
|
3 |
+
base_model: princeton-nlp/Sheared-LLaMA-1.3B-ShareGPT
|
4 |
+
tags:
|
5 |
+
- trl
|
6 |
+
- sft
|
7 |
+
- generated_from_trainer
|
8 |
+
model-index:
|
9 |
+
- name: sheared_llama_1.3b-reazon_v2-ja_en_trans-T2T
|
10 |
+
results: []
|
11 |
+
---
|
12 |
+
|
13 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
14 |
+
should probably proofread and complete it, then remove this comment. -->
|
15 |
+
|
16 |
+
# sheared_llama_1.3b-reazon_v2-ja_en_trans-T2T
|
17 |
+
|
18 |
+
This model is a fine-tuned version of [princeton-nlp/Sheared-LLaMA-1.3B-ShareGPT](https://huggingface.co/princeton-nlp/Sheared-LLaMA-1.3B-ShareGPT) on an unknown dataset.
|
19 |
+
It achieves the following results on the evaluation set:
|
20 |
+
- Loss: 1.3844
|
21 |
+
|
22 |
+
## Model description
|
23 |
+
|
24 |
+
More information needed
|
25 |
+
|
26 |
+
## Intended uses & limitations
|
27 |
+
|
28 |
+
More information needed
|
29 |
+
|
30 |
+
## Training and evaluation data
|
31 |
+
|
32 |
+
More information needed
|
33 |
+
|
34 |
+
## Training procedure
|
35 |
+
|
36 |
+
### Training hyperparameters
|
37 |
+
|
38 |
+
The following hyperparameters were used during training:
|
39 |
+
- learning_rate: 2e-05
|
40 |
+
- train_batch_size: 32
|
41 |
+
- eval_batch_size: 8
|
42 |
+
- seed: 42
|
43 |
+
- distributed_type: multi-GPU
|
44 |
+
- num_devices: 8
|
45 |
+
- gradient_accumulation_steps: 4
|
46 |
+
- total_train_batch_size: 1024
|
47 |
+
- total_eval_batch_size: 64
|
48 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
49 |
+
- lr_scheduler_type: cosine
|
50 |
+
- lr_scheduler_warmup_ratio: 0.01
|
51 |
+
- training_steps: 200
|
52 |
+
|
53 |
+
### Training results
|
54 |
+
|
55 |
+
| Training Loss | Epoch | Step | Validation Loss |
|
56 |
+
|:-------------:|:------:|:----:|:---------------:|
|
57 |
+
| 2.0409 | 0.0114 | 10 | 1.7202 |
|
58 |
+
| 1.6901 | 0.0229 | 20 | 1.6101 |
|
59 |
+
| 1.5859 | 0.0343 | 30 | 1.5446 |
|
60 |
+
| 1.5533 | 0.0458 | 40 | 1.5029 |
|
61 |
+
| 1.4937 | 0.0572 | 50 | 1.4722 |
|
62 |
+
| 1.4802 | 0.0687 | 60 | 1.4492 |
|
63 |
+
| 1.4484 | 0.0801 | 70 | 1.4302 |
|
64 |
+
| 1.4292 | 0.0916 | 80 | 1.4183 |
|
65 |
+
| 1.4203 | 0.1030 | 90 | 1.4078 |
|
66 |
+
| 1.4184 | 0.1145 | 100 | 1.3985 |
|
67 |
+
| 1.4045 | 0.1259 | 110 | 1.3923 |
|
68 |
+
| 1.4125 | 0.1374 | 120 | 1.3886 |
|
69 |
+
| 1.4098 | 0.1488 | 130 | 1.3877 |
|
70 |
+
| 1.3921 | 0.1603 | 140 | 1.3859 |
|
71 |
+
| 1.3984 | 0.1717 | 150 | 1.3851 |
|
72 |
+
| 1.3858 | 0.1832 | 160 | 1.3845 |
|
73 |
+
| 1.3995 | 0.1946 | 170 | 1.3842 |
|
74 |
+
| 1.3943 | 0.2061 | 180 | 1.3847 |
|
75 |
+
| 1.3988 | 0.2175 | 190 | 1.3844 |
|
76 |
+
| 1.3969 | 0.2290 | 200 | 1.3844 |
|
77 |
+
|
78 |
+
|
79 |
+
### Framework versions
|
80 |
+
|
81 |
+
- Transformers 4.41.2
|
82 |
+
- Pytorch 2.3.0+cu121
|
83 |
+
- Datasets 2.20.0
|
84 |
+
- Tokenizers 0.19.1
|
generation_config.json
ADDED
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_from_model_config": true,
|
3 |
+
"bos_token_id": 1,
|
4 |
+
"eos_token_id": 2,
|
5 |
+
"pad_token_id": 0,
|
6 |
+
"transformers_version": "4.41.2"
|
7 |
+
}
|
model.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 2690880168
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:fa7967fc997ccdd2a8f69a8290817293b6f315d2ab17dc04b8a77448978a0630
|
3 |
size 2690880168
|