Commit
•
49cae32
1
Parent(s):
40a439c
Training in progress epoch 0
Browse files- README.md +28 -0
- Whisper PEFT Fine-Tuning/1696436338.0195441/events.out.tfevents.1696436338.MLbox.300106.1 +3 -0
- Whisper PEFT Fine-Tuning/1696436338.0222404/hparams.yml +47 -0
- Whisper PEFT Fine-Tuning/events.out.tfevents.1696400639.MLbox.187026.0 +2 -2
- Whisper PEFT Fine-Tuning/events.out.tfevents.1696436338.MLbox.300106.0 +3 -0
- adapter_config.json +945 -945
- adapter_model.bin +2 -2
- best_checkpoint/README.md +91 -0
- best_checkpoint/adapter_config.json +945 -945
- best_checkpoint/adapter_model.bin +2 -2
- best_checkpoint/optimizer.bin +1 -1
- best_checkpoint/random_states_0.pkl +1 -1
- best_checkpoint/random_states_1.pkl +2 -2
README.md
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@@ -5,6 +5,18 @@ base_model: openai/whisper-large-v2
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## Training procedure
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The following `bitsandbytes` quantization config was used during training:
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- quant_method: bitsandbytes
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- load_in_8bit: True
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- bnb_4bit_compute_dtype: float32
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### Framework versions
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- PEFT 0.5.0
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- PEFT 0.5.0.dev0
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## Training procedure
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The following `bitsandbytes` quantization config was used during training:
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- quant_method: bitsandbytes
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- load_in_8bit: True
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- load_in_4bit: False
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- llm_int8_threshold: 6.0
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- llm_int8_skip_modules: None
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- llm_int8_enable_fp32_cpu_offload: False
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- llm_int8_has_fp16_weight: False
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- bnb_4bit_quant_type: fp4
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- bnb_4bit_use_double_quant: False
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- bnb_4bit_compute_dtype: float32
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The following `bitsandbytes` quantization config was used during training:
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- quant_method: bitsandbytes
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- load_in_8bit: True
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- bnb_4bit_compute_dtype: float32
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### Framework versions
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- PEFT 0.5.0
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- PEFT 0.5.0
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- PEFT 0.5.0.dev0
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`bitsandbytes` quantization config was used during training:
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- load_in_8bit: True
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- load_in_4bit: False
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- llm_int8_threshold: 6.0
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- llm_int8_skip_modules: None
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| 54 |
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- llm_int8_enable_fp32_cpu_offload: False
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| 55 |
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- llm_int8_has_fp16_weight: False
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- bnb_4bit_quant_type: fp4
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- bnb_4bit_use_double_quant: False
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- bnb_4bit_compute_dtype: float32
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### Framework versions
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- PEFT 0.5.0
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- PEFT 0.5.0.dev0
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Whisper PEFT Fine-Tuning/1696436338.0195441/events.out.tfevents.1696436338.MLbox.300106.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:00fb0fda25f7997d2b410376614c912aba9b662fb491ddba459d142384ef211b
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+
size 2480
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Whisper PEFT Fine-Tuning/1696436338.0222404/hparams.yml
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buffer_size: 5000
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checkpointing_steps: 500
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dataloader_num_workers: 10
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dataloader_pin_memory: false
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dataset_in_streaming_mode: false
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dataset_name: dataset
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debug_mode: false
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delta_t: 10
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do_lower_case: false
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do_remove_punctuation: false
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evaluation_steps: 500
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gradient_accumulation_steps: 4
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hub_model_id: null
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hub_token: null
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init_r: 12
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language: Bulgarian
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language_abbr: bg
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learning_rate: 5.0e-05
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load_best_model: false
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logging_steps: 100
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lora_alpha: 32
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lora_dropout: 0.1
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lr_scheduler_type: linear
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max_audio_input_length: 30.0
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max_train_steps: 5600
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model_name_or_path: openai/whisper-large-v2
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num_train_epochs: 20
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num_warmup_steps: 0
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orth_reg_weight: 0.5
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output_dir: IliyanGochev/whisper-large-v2-bg-peft
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overwrite_cache: false
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per_device_eval_batch_size: 32
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per_device_train_batch_size: 8
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preprocessing_num_workers: 20
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push_to_hub: true
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r: 8
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report_to: tensorboard
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resume_from_checkpoint: null
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seed: null
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target_r: 4
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task: transcribe
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tfinal: 1000
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tinit: 200
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use_adalora: true
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use_peft: true
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weight_decay: 0.0
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with_tracking: true
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Whisper PEFT Fine-Tuning/events.out.tfevents.1696400639.MLbox.187026.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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size 1414
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Whisper PEFT Fine-Tuning/events.out.tfevents.1696436338.MLbox.300106.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:21afb961cef6e241e6674590e0f3a1b9aec01efe9754cfeae35a95e5b632e6c1
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size 1081
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adapter_config.json
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true,
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false
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],
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"model.decoder.layers.0.encoder_attn.v_proj.lora_E": [
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],
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"model.decoder.layers.0.fc2.lora_E": [
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"model.decoder.layers.0.self_attn.k_proj.lora_E": [
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"model.decoder.layers.0.self_attn.out_proj.lora_E": [
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"model.decoder.layers.0.self_attn.q_proj.lora_E": [
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"model.decoder.layers.0.self_attn.v_proj.lora_E": [
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"model.decoder.layers.10.encoder_attn.out_proj.lora_E": [
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adapter_model.bin
CHANGED
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@@ -1,3 +1,3 @@
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|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
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|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
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|
| 3 |
+
size 63951397
|
best_checkpoint/README.md
CHANGED
|
@@ -4,6 +4,90 @@ library_name: peft
|
|
| 4 |
## Training procedure
|
| 5 |
|
| 6 |
|
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|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
| 7 |
The following `bitsandbytes` quantization config was used during training:
|
| 8 |
- quant_method: bitsandbytes
|
| 9 |
- load_in_8bit: True
|
|
@@ -65,6 +149,13 @@ The following `bitsandbytes` quantization config was used during training:
|
|
| 65 |
- bnb_4bit_compute_dtype: float32
|
| 66 |
### Framework versions
|
| 67 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 68 |
- PEFT 0.5.0
|
| 69 |
- PEFT 0.5.0
|
| 70 |
- PEFT 0.5.0
|
|
|
|
| 4 |
## Training procedure
|
| 5 |
|
| 6 |
|
| 7 |
+
The following `bitsandbytes` quantization config was used during training:
|
| 8 |
+
- quant_method: bitsandbytes
|
| 9 |
+
- load_in_8bit: True
|
| 10 |
+
- load_in_4bit: False
|
| 11 |
+
- llm_int8_threshold: 6.0
|
| 12 |
+
- llm_int8_skip_modules: None
|
| 13 |
+
- llm_int8_enable_fp32_cpu_offload: False
|
| 14 |
+
- llm_int8_has_fp16_weight: False
|
| 15 |
+
- bnb_4bit_quant_type: fp4
|
| 16 |
+
- bnb_4bit_use_double_quant: False
|
| 17 |
+
- bnb_4bit_compute_dtype: float32
|
| 18 |
+
|
| 19 |
+
The following `bitsandbytes` quantization config was used during training:
|
| 20 |
+
- quant_method: bitsandbytes
|
| 21 |
+
- load_in_8bit: True
|
| 22 |
+
- load_in_4bit: False
|
| 23 |
+
- llm_int8_threshold: 6.0
|
| 24 |
+
- llm_int8_skip_modules: None
|
| 25 |
+
- llm_int8_enable_fp32_cpu_offload: False
|
| 26 |
+
- llm_int8_has_fp16_weight: False
|
| 27 |
+
- bnb_4bit_quant_type: fp4
|
| 28 |
+
- bnb_4bit_use_double_quant: False
|
| 29 |
+
- bnb_4bit_compute_dtype: float32
|
| 30 |
+
|
| 31 |
+
The following `bitsandbytes` quantization config was used during training:
|
| 32 |
+
- quant_method: bitsandbytes
|
| 33 |
+
- load_in_8bit: True
|
| 34 |
+
- load_in_4bit: False
|
| 35 |
+
- llm_int8_threshold: 6.0
|
| 36 |
+
- llm_int8_skip_modules: None
|
| 37 |
+
- llm_int8_enable_fp32_cpu_offload: False
|
| 38 |
+
- llm_int8_has_fp16_weight: False
|
| 39 |
+
- bnb_4bit_quant_type: fp4
|
| 40 |
+
- bnb_4bit_use_double_quant: False
|
| 41 |
+
- bnb_4bit_compute_dtype: float32
|
| 42 |
+
|
| 43 |
+
The following `bitsandbytes` quantization config was used during training:
|
| 44 |
+
- quant_method: bitsandbytes
|
| 45 |
+
- load_in_8bit: True
|
| 46 |
+
- load_in_4bit: False
|
| 47 |
+
- llm_int8_threshold: 6.0
|
| 48 |
+
- llm_int8_skip_modules: None
|
| 49 |
+
- llm_int8_enable_fp32_cpu_offload: False
|
| 50 |
+
- llm_int8_has_fp16_weight: False
|
| 51 |
+
- bnb_4bit_quant_type: fp4
|
| 52 |
+
- bnb_4bit_use_double_quant: False
|
| 53 |
+
- bnb_4bit_compute_dtype: float32
|
| 54 |
+
|
| 55 |
+
The following `bitsandbytes` quantization config was used during training:
|
| 56 |
+
- quant_method: bitsandbytes
|
| 57 |
+
- load_in_8bit: True
|
| 58 |
+
- load_in_4bit: False
|
| 59 |
+
- llm_int8_threshold: 6.0
|
| 60 |
+
- llm_int8_skip_modules: None
|
| 61 |
+
- llm_int8_enable_fp32_cpu_offload: False
|
| 62 |
+
- llm_int8_has_fp16_weight: False
|
| 63 |
+
- bnb_4bit_quant_type: fp4
|
| 64 |
+
- bnb_4bit_use_double_quant: False
|
| 65 |
+
- bnb_4bit_compute_dtype: float32
|
| 66 |
+
|
| 67 |
+
The following `bitsandbytes` quantization config was used during training:
|
| 68 |
+
- quant_method: bitsandbytes
|
| 69 |
+
- load_in_8bit: True
|
| 70 |
+
- load_in_4bit: False
|
| 71 |
+
- llm_int8_threshold: 6.0
|
| 72 |
+
- llm_int8_skip_modules: None
|
| 73 |
+
- llm_int8_enable_fp32_cpu_offload: False
|
| 74 |
+
- llm_int8_has_fp16_weight: False
|
| 75 |
+
- bnb_4bit_quant_type: fp4
|
| 76 |
+
- bnb_4bit_use_double_quant: False
|
| 77 |
+
- bnb_4bit_compute_dtype: float32
|
| 78 |
+
|
| 79 |
+
The following `bitsandbytes` quantization config was used during training:
|
| 80 |
+
- quant_method: bitsandbytes
|
| 81 |
+
- load_in_8bit: True
|
| 82 |
+
- load_in_4bit: False
|
| 83 |
+
- llm_int8_threshold: 6.0
|
| 84 |
+
- llm_int8_skip_modules: None
|
| 85 |
+
- llm_int8_enable_fp32_cpu_offload: False
|
| 86 |
+
- llm_int8_has_fp16_weight: False
|
| 87 |
+
- bnb_4bit_quant_type: fp4
|
| 88 |
+
- bnb_4bit_use_double_quant: False
|
| 89 |
+
- bnb_4bit_compute_dtype: float32
|
| 90 |
+
|
| 91 |
The following `bitsandbytes` quantization config was used during training:
|
| 92 |
- quant_method: bitsandbytes
|
| 93 |
- load_in_8bit: True
|
|
|
|
| 149 |
- bnb_4bit_compute_dtype: float32
|
| 150 |
### Framework versions
|
| 151 |
|
| 152 |
+
- PEFT 0.5.0
|
| 153 |
+
- PEFT 0.5.0
|
| 154 |
+
- PEFT 0.5.0
|
| 155 |
+
- PEFT 0.5.0
|
| 156 |
+
- PEFT 0.5.0
|
| 157 |
+
- PEFT 0.5.0
|
| 158 |
+
- PEFT 0.5.0
|
| 159 |
- PEFT 0.5.0
|
| 160 |
- PEFT 0.5.0
|
| 161 |
- PEFT 0.5.0
|
best_checkpoint/adapter_config.json
CHANGED
|
@@ -39,12 +39,12 @@
|
|
| 39 |
true,
|
| 40 |
true,
|
| 41 |
true,
|
|
|
|
| 42 |
true,
|
| 43 |
true,
|
|
|
|
| 44 |
true,
|
| 45 |
true,
|
| 46 |
-
false,
|
| 47 |
-
false,
|
| 48 |
true,
|
| 49 |
true,
|
| 50 |
true
|
|
@@ -64,15 +64,15 @@
|
|
| 64 |
false
|
| 65 |
],
|
| 66 |
"model.decoder.layers.0.encoder_attn.v_proj.lora_E": [
|
| 67 |
-
true,
|
| 68 |
true,
|
| 69 |
false,
|
| 70 |
true,
|
| 71 |
true,
|
| 72 |
true,
|
| 73 |
false,
|
| 74 |
-
|
| 75 |
-
|
|
|
|
| 76 |
true,
|
| 77 |
true,
|
| 78 |
true
|
|
@@ -92,7 +92,7 @@
|
|
| 92 |
true
|
| 93 |
],
|
| 94 |
"model.decoder.layers.0.fc2.lora_E": [
|
| 95 |
-
|
| 96 |
true,
|
| 97 |
true,
|
| 98 |
true,
|
|
@@ -107,11 +107,11 @@
|
|
| 107 |
],
|
| 108 |
"model.decoder.layers.0.self_attn.k_proj.lora_E": [
|
| 109 |
false,
|
| 110 |
-
true,
|
| 111 |
false,
|
| 112 |
false,
|
| 113 |
true,
|
| 114 |
false,
|
|
|
|
| 115 |
false,
|
| 116 |
false,
|
| 117 |
false,
|
|
@@ -122,29 +122,29 @@
|
|
| 122 |
"model.decoder.layers.0.self_attn.out_proj.lora_E": [
|
| 123 |
false,
|
| 124 |
true,
|
| 125 |
-
false,
|
| 126 |
-
false,
|
| 127 |
true,
|
| 128 |
true,
|
| 129 |
true,
|
| 130 |
true,
|
|
|
|
|
|
|
| 131 |
true,
|
| 132 |
true,
|
| 133 |
true,
|
| 134 |
true
|
| 135 |
],
|
| 136 |
"model.decoder.layers.0.self_attn.q_proj.lora_E": [
|
| 137 |
-
true,
|
| 138 |
false,
|
| 139 |
false,
|
| 140 |
-
true,
|
| 141 |
-
true,
|
| 142 |
false,
|
| 143 |
-
true,
|
| 144 |
false,
|
| 145 |
false,
|
| 146 |
false,
|
|
|
|
|
|
|
| 147 |
false,
|
|
|
|
|
|
|
| 148 |
false
|
| 149 |
],
|
| 150 |
"model.decoder.layers.0.self_attn.v_proj.lora_E": [
|
|
@@ -154,22 +154,22 @@
|
|
| 154 |
true,
|
| 155 |
true,
|
| 156 |
true,
|
| 157 |
-
false,
|
| 158 |
true,
|
| 159 |
true,
|
| 160 |
true,
|
|
|
|
| 161 |
true,
|
| 162 |
true
|
| 163 |
],
|
| 164 |
"model.decoder.layers.1.encoder_attn.k_proj.lora_E": [
|
| 165 |
-
false,
|
| 166 |
-
false,
|
| 167 |
-
true,
|
| 168 |
-
false,
|
| 169 |
false,
|
| 170 |
false,
|
| 171 |
false,
|
|
|
|
|
|
|
|
|
|
| 172 |
false,
|
|
|
|
| 173 |
false,
|
| 174 |
false,
|
| 175 |
false,
|
|
@@ -178,44 +178,44 @@
|
|
| 178 |
"model.decoder.layers.1.encoder_attn.out_proj.lora_E": [
|
| 179 |
false,
|
| 180 |
false,
|
| 181 |
-
true,
|
| 182 |
-
false,
|
| 183 |
false,
|
| 184 |
true,
|
| 185 |
true,
|
| 186 |
true,
|
| 187 |
-
|
| 188 |
true,
|
| 189 |
false,
|
|
|
|
|
|
|
| 190 |
true
|
| 191 |
],
|
| 192 |
"model.decoder.layers.1.encoder_attn.q_proj.lora_E": [
|
| 193 |
false,
|
| 194 |
false,
|
| 195 |
false,
|
|
|
|
| 196 |
false,
|
| 197 |
false,
|
| 198 |
false,
|
| 199 |
false,
|
| 200 |
false,
|
| 201 |
false,
|
| 202 |
-
|
| 203 |
-
false,
|
| 204 |
false
|
| 205 |
],
|
| 206 |
"model.decoder.layers.1.encoder_attn.v_proj.lora_E": [
|
| 207 |
-
false,
|
| 208 |
-
true,
|
| 209 |
false,
|
| 210 |
true,
|
| 211 |
true,
|
| 212 |
-
false,
|
| 213 |
true,
|
| 214 |
false,
|
| 215 |
false,
|
|
|
|
|
|
|
| 216 |
false,
|
| 217 |
true,
|
| 218 |
-
|
|
|
|
| 219 |
],
|
| 220 |
"model.decoder.layers.1.fc1.lora_E": [
|
| 221 |
true,
|
|
@@ -253,7 +253,7 @@
|
|
| 253 |
false,
|
| 254 |
false,
|
| 255 |
false,
|
| 256 |
-
|
| 257 |
false,
|
| 258 |
false,
|
| 259 |
false,
|
|
@@ -270,7 +270,7 @@
|
|
| 270 |
true,
|
| 271 |
true,
|
| 272 |
true,
|
| 273 |
-
|
| 274 |
true
|
| 275 |
],
|
| 276 |
"model.decoder.layers.1.self_attn.q_proj.lora_E": [
|
|
@@ -282,7 +282,7 @@
|
|
| 282 |
false,
|
| 283 |
false,
|
| 284 |
false,
|
| 285 |
-
|
| 286 |
false,
|
| 287 |
false,
|
| 288 |
false
|
|
@@ -293,7 +293,7 @@
|
|
| 293 |
false,
|
| 294 |
true,
|
| 295 |
true,
|
| 296 |
-
|
| 297 |
true,
|
| 298 |
true,
|
| 299 |
true,
|
|
@@ -318,30 +318,30 @@
|
|
| 318 |
"model.decoder.layers.10.encoder_attn.out_proj.lora_E": [
|
| 319 |
true,
|
| 320 |
true,
|
| 321 |
-
false,
|
| 322 |
true,
|
| 323 |
true,
|
| 324 |
-
|
| 325 |
-
false,
|
| 326 |
true,
|
| 327 |
false,
|
| 328 |
true,
|
| 329 |
true,
|
|
|
|
|
|
|
| 330 |
true
|
| 331 |
],
|
| 332 |
"model.decoder.layers.10.encoder_attn.q_proj.lora_E": [
|
| 333 |
-
|
| 334 |
-
false,
|
| 335 |
-
false,
|
| 336 |
false,
|
| 337 |
false,
|
| 338 |
true,
|
| 339 |
false,
|
| 340 |
false,
|
|
|
|
| 341 |
false,
|
| 342 |
false,
|
| 343 |
false,
|
| 344 |
-
|
|
|
|
| 345 |
],
|
| 346 |
"model.decoder.layers.10.encoder_attn.v_proj.lora_E": [
|
| 347 |
true,
|
|
@@ -352,9 +352,9 @@
|
|
| 352 |
true,
|
| 353 |
true,
|
| 354 |
false,
|
| 355 |
-
false,
|
| 356 |
true,
|
| 357 |
true,
|
|
|
|
| 358 |
true
|
| 359 |
],
|
| 360 |
"model.decoder.layers.10.fc1.lora_E": [
|
|
@@ -386,56 +386,56 @@
|
|
| 386 |
true
|
| 387 |
],
|
| 388 |
"model.decoder.layers.10.self_attn.k_proj.lora_E": [
|
|
|
|
|
|
|
| 389 |
false,
|
|
|
|
| 390 |
false,
|
| 391 |
-
|
| 392 |
false,
|
| 393 |
false,
|
| 394 |
false,
|
| 395 |
false,
|
| 396 |
true,
|
| 397 |
-
false
|
| 398 |
-
false,
|
| 399 |
-
false,
|
| 400 |
-
true
|
| 401 |
],
|
| 402 |
"model.decoder.layers.10.self_attn.out_proj.lora_E": [
|
| 403 |
true,
|
| 404 |
true,
|
| 405 |
true,
|
| 406 |
-
false,
|
| 407 |
true,
|
| 408 |
true,
|
| 409 |
true,
|
| 410 |
true,
|
| 411 |
-
|
|
|
|
| 412 |
true,
|
| 413 |
true,
|
| 414 |
true
|
| 415 |
],
|
| 416 |
"model.decoder.layers.10.self_attn.q_proj.lora_E": [
|
| 417 |
-
|
| 418 |
-
|
| 419 |
-
false,
|
| 420 |
-
false,
|
| 421 |
true,
|
| 422 |
false,
|
| 423 |
-
|
| 424 |
true,
|
| 425 |
false,
|
| 426 |
false,
|
| 427 |
false,
|
|
|
|
|
|
|
| 428 |
false
|
| 429 |
],
|
| 430 |
"model.decoder.layers.10.self_attn.v_proj.lora_E": [
|
| 431 |
-
false,
|
| 432 |
true,
|
| 433 |
true,
|
|
|
|
| 434 |
true,
|
| 435 |
true,
|
| 436 |
false,
|
| 437 |
true,
|
| 438 |
-
|
| 439 |
true,
|
| 440 |
true,
|
| 441 |
true,
|
|
@@ -446,7 +446,7 @@
|
|
| 446 |
false,
|
| 447 |
false,
|
| 448 |
false,
|
| 449 |
-
|
| 450 |
false,
|
| 451 |
false,
|
| 452 |
false,
|
|
@@ -460,26 +460,26 @@
|
|
| 460 |
true,
|
| 461 |
true,
|
| 462 |
true,
|
| 463 |
-
false,
|
| 464 |
-
false,
|
| 465 |
true,
|
| 466 |
true,
|
| 467 |
true,
|
| 468 |
true,
|
| 469 |
true,
|
|
|
|
|
|
|
| 470 |
true
|
| 471 |
],
|
| 472 |
"model.decoder.layers.11.encoder_attn.q_proj.lora_E": [
|
|
|
|
| 473 |
false,
|
|
|
|
| 474 |
false,
|
|
|
|
| 475 |
false,
|
| 476 |
-
|
| 477 |
-
|
| 478 |
-
|
| 479 |
-
|
| 480 |
-
false,
|
| 481 |
-
false,
|
| 482 |
-
false,
|
| 483 |
false,
|
| 484 |
false
|
| 485 |
],
|
|
@@ -487,11 +487,11 @@
|
|
| 487 |
true,
|
| 488 |
true,
|
| 489 |
true,
|
| 490 |
-
false,
|
| 491 |
-
false,
|
| 492 |
true,
|
| 493 |
true,
|
| 494 |
-
|
|
|
|
|
|
|
| 495 |
true,
|
| 496 |
true,
|
| 497 |
true,
|
|
@@ -514,25 +514,25 @@
|
|
| 514 |
"model.decoder.layers.11.fc2.lora_E": [
|
| 515 |
true,
|
| 516 |
true,
|
| 517 |
-
false,
|
| 518 |
true,
|
| 519 |
true,
|
| 520 |
true,
|
| 521 |
true,
|
| 522 |
true,
|
| 523 |
true,
|
|
|
|
| 524 |
true,
|
| 525 |
true,
|
| 526 |
true
|
| 527 |
],
|
| 528 |
"model.decoder.layers.11.self_attn.k_proj.lora_E": [
|
|
|
|
|
|
|
| 529 |
false,
|
| 530 |
false,
|
| 531 |
false,
|
| 532 |
-
|
| 533 |
-
|
| 534 |
-
false,
|
| 535 |
-
false,
|
| 536 |
false,
|
| 537 |
false,
|
| 538 |
false,
|
|
@@ -540,6 +540,7 @@
|
|
| 540 |
false
|
| 541 |
],
|
| 542 |
"model.decoder.layers.11.self_attn.out_proj.lora_E": [
|
|
|
|
| 543 |
true,
|
| 544 |
true,
|
| 545 |
true,
|
|
@@ -547,21 +548,20 @@
|
|
| 547 |
true,
|
| 548 |
true,
|
| 549 |
true,
|
| 550 |
-
|
| 551 |
-
true,
|
| 552 |
true,
|
| 553 |
true,
|
| 554 |
true
|
| 555 |
],
|
| 556 |
"model.decoder.layers.11.self_attn.q_proj.lora_E": [
|
| 557 |
false,
|
|
|
|
| 558 |
false,
|
|
|
|
|
|
|
| 559 |
false,
|
| 560 |
false,
|
| 561 |
-
|
| 562 |
-
false,
|
| 563 |
-
false,
|
| 564 |
-
false,
|
| 565 |
false,
|
| 566 |
false,
|
| 567 |
false,
|
|
@@ -571,15 +571,15 @@
|
|
| 571 |
true,
|
| 572 |
true,
|
| 573 |
true,
|
|
|
|
| 574 |
true,
|
| 575 |
true,
|
| 576 |
true,
|
| 577 |
true,
|
| 578 |
-
false,
|
| 579 |
true,
|
| 580 |
true,
|
| 581 |
true,
|
| 582 |
-
|
| 583 |
],
|
| 584 |
"model.decoder.layers.12.encoder_attn.k_proj.lora_E": [
|
| 585 |
false,
|
|
@@ -590,7 +590,7 @@
|
|
| 590 |
false,
|
| 591 |
false,
|
| 592 |
false,
|
| 593 |
-
|
| 594 |
false,
|
| 595 |
false,
|
| 596 |
false
|
|
@@ -599,7 +599,6 @@
|
|
| 599 |
true,
|
| 600 |
true,
|
| 601 |
true,
|
| 602 |
-
false,
|
| 603 |
true,
|
| 604 |
true,
|
| 605 |
true,
|
|
@@ -607,12 +606,13 @@
|
|
| 607 |
true,
|
| 608 |
true,
|
| 609 |
true,
|
| 610 |
-
|
|
|
|
| 611 |
],
|
| 612 |
"model.decoder.layers.12.encoder_attn.q_proj.lora_E": [
|
| 613 |
false,
|
| 614 |
false,
|
| 615 |
-
|
| 616 |
false,
|
| 617 |
false,
|
| 618 |
false,
|
|
@@ -625,17 +625,17 @@
|
|
| 625 |
],
|
| 626 |
"model.decoder.layers.12.encoder_attn.v_proj.lora_E": [
|
| 627 |
true,
|
| 628 |
-
false,
|
| 629 |
-
false,
|
| 630 |
-
false,
|
| 631 |
true,
|
| 632 |
true,
|
| 633 |
-
false,
|
| 634 |
true,
|
|
|
|
|
|
|
| 635 |
false,
|
| 636 |
false,
|
| 637 |
true,
|
| 638 |
-
false
|
|
|
|
|
|
|
| 639 |
],
|
| 640 |
"model.decoder.layers.12.fc1.lora_E": [
|
| 641 |
true,
|
|
@@ -666,8 +666,7 @@
|
|
| 666 |
true
|
| 667 |
],
|
| 668 |
"model.decoder.layers.12.self_attn.k_proj.lora_E": [
|
| 669 |
-
|
| 670 |
-
false,
|
| 671 |
false,
|
| 672 |
false,
|
| 673 |
false,
|
|
@@ -677,7 +676,8 @@
|
|
| 677 |
false,
|
| 678 |
true,
|
| 679 |
true,
|
| 680 |
-
|
|
|
|
| 681 |
],
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| 682 |
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