Instructions to use dschauhan08/MiniCPM5-1B-Checkpoints with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dschauhan08/MiniCPM5-1B-Checkpoints with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("dschauhan08/MiniCPM5-1B-Checkpoints", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Training in progress, step 4620
Browse files
adapter_model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 44871152
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:3da7c58a11ea73be2ba7b042269eb8f7078a6fc619e1eafee9f57e381707fde8
|
| 3 |
size 44871152
|
last-checkpoint/adapter_config.json
CHANGED
|
@@ -33,13 +33,13 @@
|
|
| 33 |
"rank_pattern": {},
|
| 34 |
"revision": null,
|
| 35 |
"target_modules": [
|
| 36 |
-
"up_proj",
|
| 37 |
-
"k_proj",
|
| 38 |
-
"o_proj",
|
| 39 |
"q_proj",
|
|
|
|
| 40 |
"down_proj",
|
|
|
|
|
|
|
| 41 |
"gate_proj",
|
| 42 |
-
"
|
| 43 |
],
|
| 44 |
"target_parameters": null,
|
| 45 |
"task_type": "CAUSAL_LM",
|
|
|
|
| 33 |
"rank_pattern": {},
|
| 34 |
"revision": null,
|
| 35 |
"target_modules": [
|
|
|
|
|
|
|
|
|
|
| 36 |
"q_proj",
|
| 37 |
+
"k_proj",
|
| 38 |
"down_proj",
|
| 39 |
+
"v_proj",
|
| 40 |
+
"o_proj",
|
| 41 |
"gate_proj",
|
| 42 |
+
"up_proj"
|
| 43 |
],
|
| 44 |
"target_parameters": null,
|
| 45 |
"task_type": "CAUSAL_LM",
|
last-checkpoint/adapter_model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 44871152
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d4f6f4f36533eb757dab6bfd23dce19c85a7a77745b55cb08c0795c59685aa91
|
| 3 |
size 44871152
|
last-checkpoint/optimizer.pt
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 sha256:73d2a41ccd550203cd334513ad32aa162d29f62e672dbcf4aa2e8de62156d9a0
|
| 3 |
+
size 23160933
|
last-checkpoint/scaler.pt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1383
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:6cb366ee0fd05f23b8fc61bb2f37c12f485044dd90941f61b2bce04d0188321f
|
| 3 |
size 1383
|
last-checkpoint/scheduler.pt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1465
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:616f099159baa341618742c3e449495c00a58f04705dd0de97e028eb230e624f
|
| 3 |
size 1465
|
last-checkpoint/trainer_state.json
CHANGED
|
@@ -2,9 +2,9 @@
|
|
| 2 |
"best_global_step": null,
|
| 3 |
"best_metric": null,
|
| 4 |
"best_model_checkpoint": null,
|
| 5 |
-
"epoch": 1.
|
| 6 |
"eval_steps": 500,
|
| 7 |
-
"global_step":
|
| 8 |
"is_hyper_param_search": false,
|
| 9 |
"is_local_process_zero": true,
|
| 10 |
"is_world_process_zero": true,
|
|
@@ -3060,125 +3060,6 @@
|
|
| 3060 |
"learning_rate": 6.00053082583324e-06,
|
| 3061 |
"loss": 0.4025435924530029,
|
| 3062 |
"step": 4360
|
| 3063 |
-
},
|
| 3064 |
-
{
|
| 3065 |
-
"epoch": 1.7895976246544487,
|
| 3066 |
-
"grad_norm": 0.21897482872009277,
|
| 3067 |
-
"learning_rate": 5.776322089099384e-06,
|
| 3068 |
-
"loss": 0.4200548529624939,
|
| 3069 |
-
"step": 4370
|
| 3070 |
-
},
|
| 3071 |
-
{
|
| 3072 |
-
"epoch": 1.7936930480188389,
|
| 3073 |
-
"grad_norm": 0.1700364649295807,
|
| 3074 |
-
"learning_rate": 5.556257654757624e-06,
|
| 3075 |
-
"loss": 0.34192743301391604,
|
| 3076 |
-
"step": 4380
|
| 3077 |
-
},
|
| 3078 |
-
{
|
| 3079 |
-
"epoch": 1.7977884713832293,
|
| 3080 |
-
"grad_norm": 0.2201203852891922,
|
| 3081 |
-
"learning_rate": 5.340347202047669e-06,
|
| 3082 |
-
"loss": 0.3917534828186035,
|
| 3083 |
-
"step": 4390
|
| 3084 |
-
},
|
| 3085 |
-
{
|
| 3086 |
-
"epoch": 1.8018838947476197,
|
| 3087 |
-
"grad_norm": 0.2158016562461853,
|
| 3088 |
-
"learning_rate": 5.128600227501834e-06,
|
| 3089 |
-
"loss": 0.3703617572784424,
|
| 3090 |
-
"step": 4400
|
| 3091 |
-
},
|
| 3092 |
-
{
|
| 3093 |
-
"epoch": 1.8059793181120098,
|
| 3094 |
-
"grad_norm": 0.2428576648235321,
|
| 3095 |
-
"learning_rate": 4.921026044527466e-06,
|
| 3096 |
-
"loss": 0.4067427635192871,
|
| 3097 |
-
"step": 4410
|
| 3098 |
-
},
|
| 3099 |
-
{
|
| 3100 |
-
"epoch": 1.8100747414764,
|
| 3101 |
-
"grad_norm": 0.186968132853508,
|
| 3102 |
-
"learning_rate": 4.7176337829972884e-06,
|
| 3103 |
-
"loss": 0.377484655380249,
|
| 3104 |
-
"step": 4420
|
| 3105 |
-
},
|
| 3106 |
-
{
|
| 3107 |
-
"epoch": 1.8141701648407904,
|
| 3108 |
-
"grad_norm": 0.21294040977954865,
|
| 3109 |
-
"learning_rate": 4.518432388847705e-06,
|
| 3110 |
-
"loss": 0.4246979713439941,
|
| 3111 |
-
"step": 4430
|
| 3112 |
-
},
|
| 3113 |
-
{
|
| 3114 |
-
"epoch": 1.8182655882051808,
|
| 3115 |
-
"grad_norm": 0.20785194635391235,
|
| 3116 |
-
"learning_rate": 4.3234306236855315e-06,
|
| 3117 |
-
"loss": 0.39151136875152587,
|
| 3118 |
-
"step": 4440
|
| 3119 |
-
},
|
| 3120 |
-
{
|
| 3121 |
-
"epoch": 1.822361011569571,
|
| 3122 |
-
"grad_norm": 0.2211901694536209,
|
| 3123 |
-
"learning_rate": 4.132637064402445e-06,
|
| 3124 |
-
"loss": 0.40515637397766113,
|
| 3125 |
-
"step": 4450
|
| 3126 |
-
},
|
| 3127 |
-
{
|
| 3128 |
-
"epoch": 1.8264564349339611,
|
| 3129 |
-
"grad_norm": 0.1828216165304184,
|
| 3130 |
-
"learning_rate": 3.946060102797877e-06,
|
| 3131 |
-
"loss": 0.37872354984283446,
|
| 3132 |
-
"step": 4460
|
| 3133 |
-
},
|
| 3134 |
-
{
|
| 3135 |
-
"epoch": 1.8305518582983515,
|
| 3136 |
-
"grad_norm": 0.19599486887454987,
|
| 3137 |
-
"learning_rate": 3.7637079452098045e-06,
|
| 3138 |
-
"loss": 0.3668804407119751,
|
| 3139 |
-
"step": 4470
|
| 3140 |
-
},
|
| 3141 |
-
{
|
| 3142 |
-
"epoch": 1.834647281662742,
|
| 3143 |
-
"grad_norm": 0.24288585782051086,
|
| 3144 |
-
"learning_rate": 3.585588612153867e-06,
|
| 3145 |
-
"loss": 0.4075489521026611,
|
| 3146 |
-
"step": 4480
|
| 3147 |
-
},
|
| 3148 |
-
{
|
| 3149 |
-
"epoch": 1.838742705027132,
|
| 3150 |
-
"grad_norm": 0.16427487134933472,
|
| 3151 |
-
"learning_rate": 3.4117099379706195e-06,
|
| 3152 |
-
"loss": 0.3669139385223389,
|
| 3153 |
-
"step": 4490
|
| 3154 |
-
},
|
| 3155 |
-
{
|
| 3156 |
-
"epoch": 1.8428381283915225,
|
| 3157 |
-
"grad_norm": 0.20215265452861786,
|
| 3158 |
-
"learning_rate": 3.2420795704808492e-06,
|
| 3159 |
-
"loss": 0.40285863876342776,
|
| 3160 |
-
"step": 4500
|
| 3161 |
-
},
|
| 3162 |
-
{
|
| 3163 |
-
"epoch": 1.846933551755913,
|
| 3164 |
-
"grad_norm": 0.1883266270160675,
|
| 3165 |
-
"learning_rate": 3.0767049706493136e-06,
|
| 3166 |
-
"loss": 0.39141478538513186,
|
| 3167 |
-
"step": 4510
|
| 3168 |
-
},
|
| 3169 |
-
{
|
| 3170 |
-
"epoch": 1.851028975120303,
|
| 3171 |
-
"grad_norm": 0.2351822555065155,
|
| 3172 |
-
"learning_rate": 2.915593412256479e-06,
|
| 3173 |
-
"loss": 0.3928338289260864,
|
| 3174 |
-
"step": 4520
|
| 3175 |
-
},
|
| 3176 |
-
{
|
| 3177 |
-
"epoch": 1.8551243984846932,
|
| 3178 |
-
"grad_norm": 0.21443790197372437,
|
| 3179 |
-
"learning_rate": 2.7587519815786336e-06,
|
| 3180 |
-
"loss": 0.37882561683654786,
|
| 3181 |
-
"step": 4530
|
| 3182 |
}
|
| 3183 |
],
|
| 3184 |
"logging_steps": 10,
|
|
@@ -3198,7 +3079,7 @@
|
|
| 3198 |
"attributes": {}
|
| 3199 |
}
|
| 3200 |
},
|
| 3201 |
-
"total_flos": 7.
|
| 3202 |
"train_batch_size": 4,
|
| 3203 |
"trial_name": null,
|
| 3204 |
"trial_params": null
|
|
|
|
| 2 |
"best_global_step": null,
|
| 3 |
"best_metric": null,
|
| 4 |
"best_model_checkpoint": null,
|
| 5 |
+
"epoch": 1.7887785399815705,
|
| 6 |
"eval_steps": 500,
|
| 7 |
+
"global_step": 4368,
|
| 8 |
"is_hyper_param_search": false,
|
| 9 |
"is_local_process_zero": true,
|
| 10 |
"is_world_process_zero": true,
|
|
|
|
| 3060 |
"learning_rate": 6.00053082583324e-06,
|
| 3061 |
"loss": 0.4025435924530029,
|
| 3062 |
"step": 4360
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 3063 |
}
|
| 3064 |
],
|
| 3065 |
"logging_steps": 10,
|
|
|
|
| 3079 |
"attributes": {}
|
| 3080 |
}
|
| 3081 |
},
|
| 3082 |
+
"total_flos": 7.580712771272172e+17,
|
| 3083 |
"train_batch_size": 4,
|
| 3084 |
"trial_name": null,
|
| 3085 |
"trial_params": null
|