couragestrong/tiai-pinch-v2-lora
Browse files- README.md +14 -14
- adapter_config.json +3 -3
- adapter_model.safetensors +1 -1
- training_args.bin +1 -1
README.md
CHANGED
@@ -16,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
|
|
16 |
|
17 |
This model is a fine-tuned version of [mistral-community/pixtral-12b](https://huggingface.co/mistral-community/pixtral-12b) on an unknown dataset.
|
18 |
It achieves the following results on the evaluation set:
|
19 |
-
- Loss: 0.
|
20 |
|
21 |
## Model description
|
22 |
|
@@ -35,32 +35,32 @@ More information needed
|
|
35 |
### Training hyperparameters
|
36 |
|
37 |
The following hyperparameters were used during training:
|
38 |
-
- learning_rate:
|
39 |
- train_batch_size: 1
|
40 |
- eval_batch_size: 1
|
41 |
- seed: 42
|
|
|
|
|
42 |
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
|
43 |
- lr_scheduler_type: constant_with_warmup
|
44 |
-
- lr_scheduler_warmup_ratio: 0.
|
45 |
-
- num_epochs:
|
46 |
|
47 |
### Training results
|
48 |
|
49 |
-
| Training Loss | Epoch
|
50 |
-
|
51 |
-
|
|
52 |
-
| 0.
|
53 |
-
| 0.
|
54 |
-
| 0.
|
55 |
-
| 0.
|
56 |
-
| 0.152 | 1.2188 | 78 | 0.0162 |
|
57 |
-
| 0.0003 | 1.4219 | 91 | 0.0318 |
|
58 |
|
59 |
|
60 |
### Framework versions
|
61 |
|
62 |
- PEFT 0.14.0
|
63 |
-
- Transformers 4.
|
64 |
- Pytorch 2.1.1+cu121
|
65 |
- Datasets 3.2.0
|
66 |
- Tokenizers 0.21.0
|
|
|
16 |
|
17 |
This model is a fine-tuned version of [mistral-community/pixtral-12b](https://huggingface.co/mistral-community/pixtral-12b) on an unknown dataset.
|
18 |
It achieves the following results on the evaluation set:
|
19 |
+
- Loss: 0.0260
|
20 |
|
21 |
## Model description
|
22 |
|
|
|
35 |
### Training hyperparameters
|
36 |
|
37 |
The following hyperparameters were used during training:
|
38 |
+
- learning_rate: 2e-05
|
39 |
- train_batch_size: 1
|
40 |
- eval_batch_size: 1
|
41 |
- seed: 42
|
42 |
+
- gradient_accumulation_steps: 2
|
43 |
+
- total_train_batch_size: 2
|
44 |
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
|
45 |
- lr_scheduler_type: constant_with_warmup
|
46 |
+
- lr_scheduler_warmup_ratio: 0.15
|
47 |
+
- num_epochs: 5
|
48 |
|
49 |
### Training results
|
50 |
|
51 |
+
| Training Loss | Epoch | Step | Validation Loss |
|
52 |
+
|:-------------:|:-----:|:----:|:---------------:|
|
53 |
+
| 1.2117 | 1.0 | 32 | 0.8225 |
|
54 |
+
| 0.0004 | 2.0 | 64 | 0.0426 |
|
55 |
+
| 0.0035 | 3.0 | 96 | 0.0165 |
|
56 |
+
| 0.0001 | 4.0 | 128 | 0.0416 |
|
57 |
+
| 0.0059 | 5.0 | 160 | 0.0260 |
|
|
|
|
|
58 |
|
59 |
|
60 |
### Framework versions
|
61 |
|
62 |
- PEFT 0.14.0
|
63 |
+
- Transformers 4.49.0.dev0
|
64 |
- Pytorch 2.1.1+cu121
|
65 |
- Datasets 3.2.0
|
66 |
- Tokenizers 0.21.0
|
adapter_config.json
CHANGED
@@ -23,10 +23,10 @@
|
|
23 |
"rank_pattern": {},
|
24 |
"revision": null,
|
25 |
"target_modules": [
|
26 |
-
"q_proj",
|
27 |
-
"v_proj",
|
28 |
"o_proj",
|
29 |
-
"k_proj"
|
|
|
|
|
30 |
],
|
31 |
"task_type": "CAUSAL_LM",
|
32 |
"use_dora": false,
|
|
|
23 |
"rank_pattern": {},
|
24 |
"revision": null,
|
25 |
"target_modules": [
|
|
|
|
|
26 |
"o_proj",
|
27 |
+
"k_proj",
|
28 |
+
"v_proj",
|
29 |
+
"q_proj"
|
30 |
],
|
31 |
"task_type": "CAUSAL_LM",
|
32 |
"use_dora": false,
|
adapter_model.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 45689808
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:cab4049e2e8abae9288c090740d27ac56dd2296070ddbc54e0a1b8e4245dc177
|
3 |
size 45689808
|
training_args.bin
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 5560
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:ad16bfc093ffc21881648fa17073140e1b9c13d0547e0163f0cbc851c46e2825
|
3 |
size 5560
|