robobrain25_4b_full_v1: checkpoint-600
Browse files- judge4/robobrain25_4b_full_v1/checkpoint-600/config.json +67 -0
- judge4/robobrain25_4b_full_v1/checkpoint-600/generation_config.json +14 -0
- judge4/robobrain25_4b_full_v1/checkpoint-600/model.safetensors +3 -0
- judge4/robobrain25_4b_full_v1/checkpoint-600/trainer_state.json +490 -0
- judge4/robobrain25_4b_full_v1/checkpoint-600/training_args.bin +3 -0
- judge4/robobrain25_4b_full_v1/checkpoint-600/zero_to_torch.py +54 -0
judge4/robobrain25_4b_full_v1/checkpoint-600/config.json
ADDED
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@@ -0,0 +1,67 @@
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{
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| 2 |
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"architectures": [
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| 3 |
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"Qwen3VLForConditionalGeneration"
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| 4 |
+
],
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| 5 |
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"dtype": "bfloat16",
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| 6 |
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"image_token_id": 151655,
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| 7 |
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"model_type": "qwen3_vl",
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| 8 |
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"text_config": {
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| 9 |
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"attention_bias": false,
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| 10 |
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"attention_dropout": 0.0,
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| 11 |
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"bos_token_id": 151643,
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| 12 |
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"dtype": "bfloat16",
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| 13 |
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"eos_token_id": 151645,
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| 14 |
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"head_dim": 128,
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| 15 |
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"hidden_act": "silu",
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| 16 |
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"hidden_size": 2560,
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| 17 |
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"initializer_range": 0.02,
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| 18 |
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"intermediate_size": 9728,
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| 19 |
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"max_position_embeddings": 262144,
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| 20 |
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"model_type": "qwen3_vl_text",
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| 21 |
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"num_attention_heads": 32,
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| 22 |
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"num_hidden_layers": 36,
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| 23 |
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"num_key_value_heads": 8,
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| 24 |
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"pad_token_id": null,
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| 25 |
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"rms_norm_eps": 1e-06,
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| 26 |
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"rope_parameters": {
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| 27 |
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"mrope_interleaved": true,
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| 28 |
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"mrope_section": [
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24,
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| 30 |
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20,
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| 31 |
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20
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| 32 |
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],
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| 33 |
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"rope_theta": 5000000,
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| 34 |
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"rope_type": "default"
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| 35 |
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},
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| 36 |
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"tie_word_embeddings": true,
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| 37 |
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"use_cache": true,
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| 38 |
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"vocab_size": 151936
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| 39 |
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},
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| 40 |
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"tie_word_embeddings": true,
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| 41 |
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"transformers_version": "5.10.2",
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| 42 |
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"use_cache": false,
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| 43 |
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"video_token_id": 151656,
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| 44 |
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"vision_config": {
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| 45 |
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"deepstack_visual_indexes": [
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| 46 |
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5,
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| 47 |
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11,
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| 48 |
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17
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| 49 |
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],
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| 50 |
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"depth": 24,
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| 51 |
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"dtype": "bfloat16",
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| 52 |
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"hidden_act": "gelu_pytorch_tanh",
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| 53 |
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"hidden_size": 1024,
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| 54 |
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"in_channels": 3,
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| 55 |
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"initializer_range": 0.02,
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| 56 |
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"intermediate_size": 4096,
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| 57 |
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"model_type": "qwen3_vl_vision",
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| 58 |
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"num_heads": 16,
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| 59 |
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"num_position_embeddings": 2304,
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| 60 |
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"out_hidden_size": 2560,
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| 61 |
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"patch_size": 16,
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| 62 |
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"spatial_merge_size": 2,
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| 63 |
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"temporal_patch_size": 2
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| 64 |
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},
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| 65 |
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"vision_end_token_id": 151653,
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| 66 |
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"vision_start_token_id": 151652
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| 67 |
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}
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judge4/robobrain25_4b_full_v1/checkpoint-600/generation_config.json
ADDED
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@@ -0,0 +1,14 @@
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{
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"bos_token_id": 151643,
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| 3 |
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"do_sample": true,
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| 4 |
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"eos_token_id": [
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151645,
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| 6 |
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151643
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| 7 |
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],
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| 8 |
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"pad_token_id": 151643,
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| 9 |
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"repetition_penalty": 1.0,
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| 10 |
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"temperature": 0.7,
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| 11 |
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"top_k": 20,
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| 12 |
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"top_p": 0.8,
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| 13 |
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"transformers_version": "5.10.2"
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| 14 |
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}
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judge4/robobrain25_4b_full_v1/checkpoint-600/model.safetensors
ADDED
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@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:7e961ddbb8ee442b9f622e52e7ffaca0bf7c772861a6ca9bf41119dd0a390e3d
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| 3 |
+
size 8875719408
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judge4/robobrain25_4b_full_v1/checkpoint-600/trainer_state.json
ADDED
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@@ -0,0 +1,490 @@
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|
| 1 |
+
{
|
| 2 |
+
"best_global_step": 600,
|
| 3 |
+
"best_metric": 0.9913830968829511,
|
| 4 |
+
"best_model_checkpoint": "/cache/hyeongjinkim/runs/yesno/robobrain25_4b/checkpoint-600",
|
| 5 |
+
"epoch": 0.32085561497326204,
|
| 6 |
+
"eval_steps": 200,
|
| 7 |
+
"global_step": 600,
|
| 8 |
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"is_hyper_param_search": false,
|
| 9 |
+
"is_local_process_zero": true,
|
| 10 |
+
"is_world_process_zero": true,
|
| 11 |
+
"log_history": [
|
| 12 |
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{
|
| 13 |
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"epoch": 0.0053475935828877,
|
| 14 |
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"grad_norm": 81.35555848697916,
|
| 15 |
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"learning_rate": 1.5789473684210526e-06,
|
| 16 |
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"loss": 0.67803955078125,
|
| 17 |
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"step": 10
|
| 18 |
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},
|
| 19 |
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{
|
| 20 |
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"epoch": 0.0106951871657754,
|
| 21 |
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"grad_norm": 46.59385136159528,
|
| 22 |
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"learning_rate": 3.3333333333333333e-06,
|
| 23 |
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"loss": 0.6182425498962403,
|
| 24 |
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"step": 20
|
| 25 |
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},
|
| 26 |
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{
|
| 27 |
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"epoch": 0.016042780748663103,
|
| 28 |
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"grad_norm": 50.10868928177893,
|
| 29 |
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"learning_rate": 5.087719298245615e-06,
|
| 30 |
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"loss": 0.3442235946655273,
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| 31 |
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"step": 30
|
| 32 |
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},
|
| 33 |
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{
|
| 34 |
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"epoch": 0.0213903743315508,
|
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{
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| 443 |
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{
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| 450 |
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|
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|
| 459 |
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| 460 |
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|
| 466 |
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"EarlyStoppingCallback": {
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| 467 |
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| 468 |
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| 469 |
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| 471 |
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|
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| 475 |
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| 476 |
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| 477 |
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|
| 478 |
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|
| 479 |
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|
| 480 |
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|
| 481 |
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|
| 482 |
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},
|
| 483 |
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|
| 484 |
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}
|
| 485 |
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},
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| 486 |
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|
| 487 |
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| 488 |
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| 489 |
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|
| 490 |
+
}
|
judge4/robobrain25_4b_full_v1/checkpoint-600/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:5e2a8177c5f6750417a3ae34fcdf0221b8b841561a714ac4792f19eba0082398
|
| 3 |
+
size 6673
|
judge4/robobrain25_4b_full_v1/checkpoint-600/zero_to_torch.py
ADDED
|
@@ -0,0 +1,54 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
#!/usr/bin/env python
|
| 2 |
+
|
| 3 |
+
# SPDX-License-Identifier: Apache-2.0
|
| 4 |
+
# DeepSpeed Team
|
| 5 |
+
|
| 6 |
+
import argparse
|
| 7 |
+
|
| 8 |
+
if __package__:
|
| 9 |
+
from . import zero_to_fp32
|
| 10 |
+
else:
|
| 11 |
+
import zero_to_fp32
|
| 12 |
+
|
| 13 |
+
|
| 14 |
+
def main(args=None):
|
| 15 |
+
parser = argparse.ArgumentParser(
|
| 16 |
+
description="Convert a DeepSpeed ZeRO checkpoint to float32, float16, or bfloat16 PyTorch weights.")
|
| 17 |
+
parser.add_argument("checkpoint_dir",
|
| 18 |
+
type=str,
|
| 19 |
+
help="path to the desired checkpoint folder, e.g., path/checkpoint-12")
|
| 20 |
+
parser.add_argument("output_dir", type=str, help="directory for the converted PyTorch state_dict files")
|
| 21 |
+
parser.add_argument("--dtype",
|
| 22 |
+
type=str,
|
| 23 |
+
choices=sorted(zero_to_fp32.OUTPUT_DTYPE_NAMES),
|
| 24 |
+
required=True,
|
| 25 |
+
help="output tensor dtype")
|
| 26 |
+
parser.add_argument("--max_shard_size",
|
| 27 |
+
type=str,
|
| 28 |
+
default="5GB",
|
| 29 |
+
help="maximum size of each checkpoint shard, such as 5GB or 500MB")
|
| 30 |
+
parser.add_argument("--safe_serialization",
|
| 31 |
+
default=False,
|
| 32 |
+
action='store_true',
|
| 33 |
+
help="save with safetensors instead of PyTorch pickle serialization")
|
| 34 |
+
parser.add_argument("-t",
|
| 35 |
+
"--tag",
|
| 36 |
+
type=str,
|
| 37 |
+
default=None,
|
| 38 |
+
help="checkpoint tag used as a unique identifier, e.g., global_step1")
|
| 39 |
+
parser.add_argument("--exclude_frozen_parameters", action='store_true', help="exclude frozen parameters")
|
| 40 |
+
parser.add_argument("-d", "--debug", action='store_true', help="enable debug output")
|
| 41 |
+
parsed_args = parser.parse_args(args)
|
| 42 |
+
|
| 43 |
+
zero_to_fp32.debug = parsed_args.debug
|
| 44 |
+
zero_to_fp32.convert_zero_checkpoint_to_state_dict(parsed_args.checkpoint_dir,
|
| 45 |
+
parsed_args.output_dir,
|
| 46 |
+
dtype=parsed_args.dtype,
|
| 47 |
+
max_shard_size=parsed_args.max_shard_size,
|
| 48 |
+
safe_serialization=parsed_args.safe_serialization,
|
| 49 |
+
tag=parsed_args.tag,
|
| 50 |
+
exclude_frozen_parameters=parsed_args.exclude_frozen_parameters)
|
| 51 |
+
|
| 52 |
+
|
| 53 |
+
if __name__ == "__main__":
|
| 54 |
+
main()
|