cataluna84 commited on
Commit
51b859e
·
verified ·
1 Parent(s): 5bb1ff6

checkpoints/best (main-tree mirror)

Browse files
checkpoints/best/audio_heads.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:09a85fd3a4dc4caa6e3edfe857cb3f0c39dc2ae54ec89c6ce86f4d9c6f0efd94
3
+ size 8390277
checkpoints/best/depth_decoder.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e8ced80136b340190d881f62e7e07e0a2d0d3d6099cbcb13b8ffaf25f4979597
3
+ size 1428745845
checkpoints/best/metadata.json ADDED
@@ -0,0 +1,148 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "step": 62750,
3
+ "best_val_loss": 2.9048058986663814,
4
+ "config": {
5
+ "backend": "tpu",
6
+ "data": {
7
+ "train_split": "/mnt/data/splits/train.jsonl",
8
+ "val_split": "/mnt/data/splits/val.jsonl",
9
+ "encoded_dir": "/mnt/data/encoded",
10
+ "max_frames": 300,
11
+ "bucket_frames": null,
12
+ "audio_frame_rate": 12.5,
13
+ "num_workers": 32,
14
+ "pin_memory": false
15
+ },
16
+ "train": {
17
+ "num_codebooks": 8,
18
+ "batch_size": 8,
19
+ "grad_accum": 1,
20
+ "max_steps": 110463,
21
+ "warmup_steps": 1100,
22
+ "min_lr_ratio": 0.0,
23
+ "depth_chunk_size": 100,
24
+ "precision": "bfloat16",
25
+ "max_grad_norm": 1.0,
26
+ "seed": 42,
27
+ "scheduler_total_steps": null,
28
+ "per_chip_batch": 2,
29
+ "schedule": "wsd",
30
+ "wsd_anneal_steps": 11000,
31
+ "wsd_anneal_frac": 0.1,
32
+ "weight_decay": 0.01,
33
+ "adam_beta1": 0.9,
34
+ "adam_beta2": 0.999,
35
+ "adam_eps": 1e-08,
36
+ "allow_fresh_optimizer": false,
37
+ "use_scan_layers": true,
38
+ "xla_grad_checkpoint": true,
39
+ "compile_warmup_steps": 1,
40
+ "debug_input_sharding": false,
41
+ "early_stop_patience": 10,
42
+ "enable_clip_grad_norm": true,
43
+ "clip_grad_norm": 1.0,
44
+ "log_grad_norm": true,
45
+ "fsdp_barrier_hook": false,
46
+ "micro_mark_step": true,
47
+ "final_canonical_save": true
48
+ },
49
+ "loss": {
50
+ "text_weight": 0.2,
51
+ "audio_weight": 1.0,
52
+ "text_weight_curriculum_frac": 0.0,
53
+ "composite_text_w": 0.4,
54
+ "composite_audio_w": 0.6,
55
+ "text_padding_weight": 0.01,
56
+ "zero_padding_weight": 0.0,
57
+ "label_smoothing": 0.1,
58
+ "per_codebook_multipliers": [
59
+ 1.0,
60
+ 1.0,
61
+ 1.5,
62
+ 1.5,
63
+ 2.0,
64
+ 2.0,
65
+ 2.0,
66
+ 2.0
67
+ ],
68
+ "progressive_unmask_fraction": 0.1,
69
+ "unmask_k0": 1
70
+ },
71
+ "optim": {
72
+ "lr_lora": 0.0001716,
73
+ "lr_full_ft": 5e-05,
74
+ "lr_projection": 0.0005,
75
+ "lr_depth": 0.0001,
76
+ "lr_audio_embed": 0.0005,
77
+ "lr_text_embed": 0.0005,
78
+ "lr_depth_blocks": 1e-05
79
+ },
80
+ "logging": {
81
+ "log_every": 25,
82
+ "save_every": 1000,
83
+ "audio_every": 5000,
84
+ "audio_ar_frames": 50,
85
+ "val_every": 250,
86
+ "val_max_batches": 25,
87
+ "val_on_tpu": true,
88
+ "val_per_chip_batch": 8,
89
+ "tpu_telemetry_every": 250,
90
+ "save_dir": "gs://tinyaya-stage2-eu/checkpoints/stage2-v6e16-mh-v03-r2",
91
+ "log_spaced_saves": true,
92
+ "save_at_steps": null,
93
+ "async_checkpoint_upload": true,
94
+ "wandb_project": "tinyaya-stage2-tpu",
95
+ "wandb_run_name": "v0.3-long-horizon-mh-r2",
96
+ "use_wandb": true,
97
+ "wandb_tags": [
98
+ "v0.3",
99
+ "multi-host",
100
+ "wsd"
101
+ ],
102
+ "push_to_hub": true,
103
+ "hub_repo_id": "tiny-aya-translate/tr-hi-s2st-v0.3",
104
+ "hub_private": true,
105
+ "diag_metrics": true,
106
+ "keep_last_n": 0,
107
+ "keep_local_checkpoints": false
108
+ },
109
+ "perf": {
110
+ "enabled": true,
111
+ "warmup_skip_steps": 25,
112
+ "xprof_trace_labels": false
113
+ },
114
+ "lora": {
115
+ "r": 32,
116
+ "alpha": 64,
117
+ "dropout": 0.05,
118
+ "use_rslora": true,
119
+ "target_modules": [
120
+ "q_proj",
121
+ "k_proj",
122
+ "v_proj",
123
+ "o_proj",
124
+ "gate_proj",
125
+ "up_proj",
126
+ "down_proj",
127
+ "embed_tokens"
128
+ ],
129
+ "lora_exclude_top": 0,
130
+ "num_full_ft_layers": 0,
131
+ "depth_unfreeze_blocks": 0
132
+ }
133
+ },
134
+ "wandb_run_id": "xzcb60bl",
135
+ "files": {
136
+ "rng.pt": 6605,
137
+ "depth_decoder.pt": 1428745845,
138
+ "text_embed.pt": 1090668924,
139
+ "scheduler.pt": 1401,
140
+ "projection.pt": 16778814,
141
+ "optimizer.pt": 768419326,
142
+ "model_audio_embed.pt": 8394415,
143
+ "audio_heads.pt": 8390277,
144
+ "peft_adapter/adapter_config.json": 1122,
145
+ "peft_adapter/README.md": 5202,
146
+ "peft_adapter/adapter_model.safetensors": 1220179520
147
+ }
148
+ }
checkpoints/best/model_audio_embed.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:fb4d0cf9710d6f557d42b03fcd7c5ff05b776e0bba9f0dc2ca70eb9bbf74194b
3
+ size 8394415
checkpoints/best/peft_adapter/README.md ADDED
@@ -0,0 +1,207 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: CohereLabs/tiny-aya-base
3
+ library_name: peft
4
+ pipeline_tag: text-generation
5
+ tags:
6
+ - base_model:adapter:CohereLabs/tiny-aya-base
7
+ - lora
8
+ - transformers
9
+ ---
10
+
11
+ # Model Card for Model ID
12
+
13
+ <!-- Provide a quick summary of what the model is/does. -->
14
+
15
+
16
+
17
+ ## Model Details
18
+
19
+ ### Model Description
20
+
21
+ <!-- Provide a longer summary of what this model is. -->
22
+
23
+
24
+
25
+ - **Developed by:** [More Information Needed]
26
+ - **Funded by [optional]:** [More Information Needed]
27
+ - **Shared by [optional]:** [More Information Needed]
28
+ - **Model type:** [More Information Needed]
29
+ - **Language(s) (NLP):** [More Information Needed]
30
+ - **License:** [More Information Needed]
31
+ - **Finetuned from model [optional]:** [More Information Needed]
32
+
33
+ ### Model Sources [optional]
34
+
35
+ <!-- Provide the basic links for the model. -->
36
+
37
+ - **Repository:** [More Information Needed]
38
+ - **Paper [optional]:** [More Information Needed]
39
+ - **Demo [optional]:** [More Information Needed]
40
+
41
+ ## Uses
42
+
43
+ <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
44
+
45
+ ### Direct Use
46
+
47
+ <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
48
+
49
+ [More Information Needed]
50
+
51
+ ### Downstream Use [optional]
52
+
53
+ <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
54
+
55
+ [More Information Needed]
56
+
57
+ ### Out-of-Scope Use
58
+
59
+ <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
60
+
61
+ [More Information Needed]
62
+
63
+ ## Bias, Risks, and Limitations
64
+
65
+ <!-- This section is meant to convey both technical and sociotechnical limitations. -->
66
+
67
+ [More Information Needed]
68
+
69
+ ### Recommendations
70
+
71
+ <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
72
+
73
+ Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
74
+
75
+ ## How to Get Started with the Model
76
+
77
+ Use the code below to get started with the model.
78
+
79
+ [More Information Needed]
80
+
81
+ ## Training Details
82
+
83
+ ### Training Data
84
+
85
+ <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
86
+
87
+ [More Information Needed]
88
+
89
+ ### Training Procedure
90
+
91
+ <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
92
+
93
+ #### Preprocessing [optional]
94
+
95
+ [More Information Needed]
96
+
97
+
98
+ #### Training Hyperparameters
99
+
100
+ - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
101
+
102
+ #### Speeds, Sizes, Times [optional]
103
+
104
+ <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
105
+
106
+ [More Information Needed]
107
+
108
+ ## Evaluation
109
+
110
+ <!-- This section describes the evaluation protocols and provides the results. -->
111
+
112
+ ### Testing Data, Factors & Metrics
113
+
114
+ #### Testing Data
115
+
116
+ <!-- This should link to a Dataset Card if possible. -->
117
+
118
+ [More Information Needed]
119
+
120
+ #### Factors
121
+
122
+ <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
123
+
124
+ [More Information Needed]
125
+
126
+ #### Metrics
127
+
128
+ <!-- These are the evaluation metrics being used, ideally with a description of why. -->
129
+
130
+ [More Information Needed]
131
+
132
+ ### Results
133
+
134
+ [More Information Needed]
135
+
136
+ #### Summary
137
+
138
+
139
+
140
+ ## Model Examination [optional]
141
+
142
+ <!-- Relevant interpretability work for the model goes here -->
143
+
144
+ [More Information Needed]
145
+
146
+ ## Environmental Impact
147
+
148
+ <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
149
+
150
+ Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
151
+
152
+ - **Hardware Type:** [More Information Needed]
153
+ - **Hours used:** [More Information Needed]
154
+ - **Cloud Provider:** [More Information Needed]
155
+ - **Compute Region:** [More Information Needed]
156
+ - **Carbon Emitted:** [More Information Needed]
157
+
158
+ ## Technical Specifications [optional]
159
+
160
+ ### Model Architecture and Objective
161
+
162
+ [More Information Needed]
163
+
164
+ ### Compute Infrastructure
165
+
166
+ [More Information Needed]
167
+
168
+ #### Hardware
169
+
170
+ [More Information Needed]
171
+
172
+ #### Software
173
+
174
+ [More Information Needed]
175
+
176
+ ## Citation [optional]
177
+
178
+ <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
179
+
180
+ **BibTeX:**
181
+
182
+ [More Information Needed]
183
+
184
+ **APA:**
185
+
186
+ [More Information Needed]
187
+
188
+ ## Glossary [optional]
189
+
190
+ <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
191
+
192
+ [More Information Needed]
193
+
194
+ ## More Information [optional]
195
+
196
+ [More Information Needed]
197
+
198
+ ## Model Card Authors [optional]
199
+
200
+ [More Information Needed]
201
+
202
+ ## Model Card Contact
203
+
204
+ [More Information Needed]
205
+ ### Framework versions
206
+
207
+ - PEFT 0.19.1
checkpoints/best/peft_adapter/adapter_config.json ADDED
@@ -0,0 +1,49 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alora_invocation_tokens": null,
3
+ "alpha_pattern": {},
4
+ "arrow_config": null,
5
+ "auto_mapping": null,
6
+ "base_model_name_or_path": "CohereLabs/tiny-aya-base",
7
+ "bias": "none",
8
+ "corda_config": null,
9
+ "ensure_weight_tying": false,
10
+ "eva_config": null,
11
+ "exclude_modules": null,
12
+ "fan_in_fan_out": false,
13
+ "inference_mode": true,
14
+ "init_lora_weights": true,
15
+ "layer_replication": null,
16
+ "layers_pattern": null,
17
+ "layers_to_transform": null,
18
+ "loftq_config": {},
19
+ "lora_alpha": 64,
20
+ "lora_bias": false,
21
+ "lora_dropout": 0.05,
22
+ "lora_ga_config": null,
23
+ "megatron_config": null,
24
+ "megatron_core": "megatron.core",
25
+ "modules_to_save": null,
26
+ "peft_type": "LORA",
27
+ "peft_version": "0.19.1",
28
+ "qalora_group_size": 16,
29
+ "r": 32,
30
+ "rank_pattern": {},
31
+ "revision": null,
32
+ "target_modules": [
33
+ "up_proj",
34
+ "o_proj",
35
+ "k_proj",
36
+ "gate_proj",
37
+ "v_proj",
38
+ "embed_tokens",
39
+ "q_proj",
40
+ "down_proj"
41
+ ],
42
+ "target_parameters": null,
43
+ "task_type": "CAUSAL_LM",
44
+ "trainable_token_indices": null,
45
+ "use_bdlora": null,
46
+ "use_dora": false,
47
+ "use_qalora": false,
48
+ "use_rslora": true
49
+ }
checkpoints/best/peft_adapter/adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6645a1258da4856e3a67e42d4dea435cfe07f29ad0f6bd81ca195460cb935786
3
+ size 1220179520
checkpoints/best/projection.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:069ab56a118e82bb3d51f6015b332048697143fe7e9b5e0c82a94ca36006213a
3
+ size 16778814
checkpoints/best/text_embed.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2af4db9373aa383e53250beb2da5521cf149a121a2b37bd709389c0f91aea2a4
3
+ size 1090668924