floriangardin
commited on
musiclang/musiclang-v2-bpe
Browse files- README.md +18 -35
- config.json +5 -6
- generation_config.json +2 -2
- model.safetensors +2 -2
- training_args.bin +1 -1
README.md
CHANGED
@@ -1,5 +1,4 @@
|
|
1 |
---
|
2 |
-
base_model: musiclang/musiclang-v2-xl
|
3 |
tags:
|
4 |
- generated_from_trainer
|
5 |
model-index:
|
@@ -12,9 +11,9 @@ should probably proofread and complete it, then remove this comment. -->
|
|
12 |
|
13 |
# model
|
14 |
|
15 |
-
This model is a fine-tuned version of [
|
16 |
It achieves the following results on the evaluation set:
|
17 |
-
- Loss: 0.
|
18 |
|
19 |
## Model description
|
20 |
|
@@ -34,8 +33,8 @@ More information needed
|
|
34 |
|
35 |
The following hyperparameters were used during training:
|
36 |
- learning_rate: 0.0001
|
37 |
-
- train_batch_size:
|
38 |
-
- eval_batch_size:
|
39 |
- seed: 42
|
40 |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
41 |
- lr_scheduler_type: cosine_with_restarts
|
@@ -47,36 +46,20 @@ The following hyperparameters were used during training:
|
|
47 |
|
48 |
| Training Loss | Epoch | Step | Validation Loss |
|
49 |
|:-------------:|:-----:|:-----:|:---------------:|
|
50 |
-
|
|
51 |
-
|
|
52 |
-
|
|
53 |
-
|
|
54 |
-
|
|
55 |
-
|
|
56 |
-
|
|
57 |
-
|
|
58 |
-
|
|
59 |
-
| 0.
|
60 |
-
| 0.
|
61 |
-
| 0.
|
62 |
-
| 0.
|
63 |
-
| 0.
|
64 |
-
| 0.3147 | 0.5 | 30000 | 0.3045 |
|
65 |
-
| 0.3182 | 0.53 | 32000 | 0.3026 |
|
66 |
-
| 0.3129 | 0.56 | 34000 | 0.3017 |
|
67 |
-
| 0.3132 | 0.59 | 36000 | 0.3008 |
|
68 |
-
| 0.3109 | 0.63 | 38000 | 0.2987 |
|
69 |
-
| 0.3092 | 0.66 | 40000 | 0.2972 |
|
70 |
-
| 0.3091 | 0.69 | 42000 | 0.2963 |
|
71 |
-
| 0.3034 | 0.73 | 44000 | 0.2960 |
|
72 |
-
| 0.3061 | 0.76 | 46000 | 0.2956 |
|
73 |
-
| 0.3044 | 0.79 | 48000 | 0.2946 |
|
74 |
-
| 0.3036 | 0.83 | 50000 | 0.2940 |
|
75 |
-
| 0.3003 | 0.86 | 52000 | 0.2939 |
|
76 |
-
| 0.303 | 0.89 | 54000 | 0.2934 |
|
77 |
-
| 0.3007 | 0.93 | 56000 | 0.2932 |
|
78 |
-
| 0.3009 | 0.96 | 58000 | 0.2930 |
|
79 |
-
| 0.3 | 0.99 | 60000 | 0.2930 |
|
80 |
|
81 |
|
82 |
### Framework versions
|
|
|
1 |
---
|
|
|
2 |
tags:
|
3 |
- generated_from_trainer
|
4 |
model-index:
|
|
|
11 |
|
12 |
# model
|
13 |
|
14 |
+
This model is a fine-tuned version of [](https://huggingface.co/) on the None dataset.
|
15 |
It achieves the following results on the evaluation set:
|
16 |
+
- Loss: 0.9350
|
17 |
|
18 |
## Model description
|
19 |
|
|
|
33 |
|
34 |
The following hyperparameters were used during training:
|
35 |
- learning_rate: 0.0001
|
36 |
+
- train_batch_size: 16
|
37 |
+
- eval_batch_size: 16
|
38 |
- seed: 42
|
39 |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
40 |
- lr_scheduler_type: cosine_with_restarts
|
|
|
46 |
|
47 |
| Training Loss | Epoch | Step | Validation Loss |
|
48 |
|:-------------:|:-----:|:-----:|:---------------:|
|
49 |
+
| 2.799 | 0.07 | 2000 | 2.6594 |
|
50 |
+
| 1.5819 | 0.13 | 4000 | 1.4878 |
|
51 |
+
| 1.3252 | 0.2 | 6000 | 1.2718 |
|
52 |
+
| 1.2293 | 0.27 | 8000 | 1.1748 |
|
53 |
+
| 1.141 | 0.34 | 10000 | 1.1004 |
|
54 |
+
| 1.093 | 0.4 | 12000 | 1.0582 |
|
55 |
+
| 1.0601 | 0.47 | 14000 | 1.0282 |
|
56 |
+
| 1.0285 | 0.54 | 16000 | 0.9957 |
|
57 |
+
| 1.002 | 0.61 | 18000 | 0.9794 |
|
58 |
+
| 0.9876 | 0.67 | 20000 | 0.9605 |
|
59 |
+
| 0.9903 | 0.74 | 22000 | 0.9489 |
|
60 |
+
| 0.9698 | 0.81 | 24000 | 0.9418 |
|
61 |
+
| 0.962 | 0.88 | 26000 | 0.9370 |
|
62 |
+
| 0.9598 | 0.94 | 28000 | 0.9350 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
63 |
|
64 |
|
65 |
### Framework versions
|
config.json
CHANGED
@@ -1,22 +1,21 @@
|
|
1 |
{
|
2 |
-
"_name_or_path": "musiclang/musiclang-v2-xl",
|
3 |
"activation_function": "gelu_new",
|
4 |
"architectures": [
|
5 |
"GPT2LMHeadModel"
|
6 |
],
|
7 |
"attn_pdrop": 0.1,
|
8 |
-
"bos_token_id":
|
9 |
"embd_pdrop": 0.1,
|
10 |
-
"eos_token_id":
|
11 |
"initializer_range": 0.02,
|
12 |
"layer_norm_epsilon": 1e-05,
|
13 |
"model_type": "gpt2",
|
14 |
-
"n_embd":
|
15 |
"n_head": 10,
|
16 |
"n_inner": null,
|
17 |
"n_layer": 10,
|
18 |
"n_positions": 4096,
|
19 |
-
"padding_token_id":
|
20 |
"reorder_and_upcast_attn": false,
|
21 |
"resid_pdrop": 0.1,
|
22 |
"scale_attn_by_inverse_layer_idx": false,
|
@@ -29,5 +28,5 @@
|
|
29 |
"torch_dtype": "float32",
|
30 |
"transformers_version": "4.37.2",
|
31 |
"use_cache": true,
|
32 |
-
"vocab_size":
|
33 |
}
|
|
|
1 |
{
|
|
|
2 |
"activation_function": "gelu_new",
|
3 |
"architectures": [
|
4 |
"GPT2LMHeadModel"
|
5 |
],
|
6 |
"attn_pdrop": 0.1,
|
7 |
+
"bos_token_id": 30000,
|
8 |
"embd_pdrop": 0.1,
|
9 |
+
"eos_token_id": 30000,
|
10 |
"initializer_range": 0.02,
|
11 |
"layer_norm_epsilon": 1e-05,
|
12 |
"model_type": "gpt2",
|
13 |
+
"n_embd": 600,
|
14 |
"n_head": 10,
|
15 |
"n_inner": null,
|
16 |
"n_layer": 10,
|
17 |
"n_positions": 4096,
|
18 |
+
"padding_token_id": 30000,
|
19 |
"reorder_and_upcast_attn": false,
|
20 |
"resid_pdrop": 0.1,
|
21 |
"scale_attn_by_inverse_layer_idx": false,
|
|
|
28 |
"torch_dtype": "float32",
|
29 |
"transformers_version": "4.37.2",
|
30 |
"use_cache": true,
|
31 |
+
"vocab_size": 30001
|
32 |
}
|
generation_config.json
CHANGED
@@ -1,6 +1,6 @@
|
|
1 |
{
|
2 |
"_from_model_config": true,
|
3 |
-
"bos_token_id":
|
4 |
-
"eos_token_id":
|
5 |
"transformers_version": "4.37.2"
|
6 |
}
|
|
|
1 |
{
|
2 |
"_from_model_config": true,
|
3 |
+
"bos_token_id": 30000,
|
4 |
+
"eos_token_id": 30000,
|
5 |
"transformers_version": "4.37.2"
|
6 |
}
|
model.safetensors
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 sha256:22726d5d220ff7c2d8b4bda44044f456543da712c6f13abceb7ebfbdf291e29c
|
3 |
+
size 254962056
|
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:db2daf1ba377eb851dad0905d389222e965f048ff071e14d1039b7e459c05c67
|
3 |
size 4664
|