End of training

README.md

@@ -0,0 +1,54 @@
+---
+library_name: peft
+tags:
+- generated_from_trainer
+base_model: aipib/llmjp-dareties
+model-index:
+- name: llmjp-dareties-ft-onlyqa-adapter2
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# llmjp-dareties-ft-onlyqa-adapter2
+
+This model is a fine-tuned version of [aipib/llmjp-dareties](https://huggingface.co/aipib/llmjp-dareties) on the None dataset.
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 0.0001
+- train_batch_size: 1
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 5
+- num_epochs: 1
+
+### Training results
+
+
+
+### Framework versions
+
+- PEFT 0.11.1
+- Transformers 4.41.1
+- Pytorch 2.3.0
+- Datasets 2.20.0
+- Tokenizers 0.19.1

adapter_config.json

@@ -0,0 +1,32 @@
+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "aipib/llmjp-dareties",
+  "bias": "none",
+  "fan_in_fan_out": true,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 32,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "wte",
+    "c_attn",
+    "c_fc",
+    "wpe",
+    "c_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_dora": false,
+  "use_rslora": false
+}

adapter_model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:68b16b83fc21637f61422f2a9771b3c702c7abd03ce7064ca8c43a060af7d42c
+size 107963160

trainer_state.json

@@ -0,0 +1,196 @@
+{
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 1.0,
+  "eval_steps": 500,
+  "global_step": 113,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.04424778761061947,
+      "grad_norm": 19.216197967529297,
+      "learning_rate": 0.0001,
+      "loss": 2.7696,
+      "step": 5
+    },
+    {
+      "epoch": 0.08849557522123894,
+      "grad_norm": 9.90820598602295,
+      "learning_rate": 9.537037037037038e-05,
+      "loss": 2.4474,
+      "step": 10
+    },
+    {
+      "epoch": 0.13274336283185842,
+      "grad_norm": 9.913591384887695,
+      "learning_rate": 9.074074074074075e-05,
+      "loss": 2.2249,
+      "step": 15
+    },
+    {
+      "epoch": 0.17699115044247787,
+      "grad_norm": 18.111818313598633,
+      "learning_rate": 8.611111111111112e-05,
+      "loss": 2.0585,
+      "step": 20
+    },
+    {
+      "epoch": 0.22123893805309736,
+      "grad_norm": 10.692439079284668,
+      "learning_rate": 8.148148148148148e-05,
+      "loss": 1.7636,
+      "step": 25
+    },
+    {
+      "epoch": 0.26548672566371684,
+      "grad_norm": 15.1380033493042,
+      "learning_rate": 7.685185185185185e-05,
+      "loss": 1.7311,
+      "step": 30
+    },
+    {
+      "epoch": 0.30973451327433627,
+      "grad_norm": 11.560906410217285,
+      "learning_rate": 7.222222222222222e-05,
+      "loss": 1.5557,
+      "step": 35
+    },
+    {
+      "epoch": 0.35398230088495575,
+      "grad_norm": 8.727864265441895,
+      "learning_rate": 6.759259259259259e-05,
+      "loss": 1.6089,
+      "step": 40
+    },
+    {
+      "epoch": 0.39823008849557523,
+      "grad_norm": 8.90024185180664,
+      "learning_rate": 6.296296296296296e-05,
+      "loss": 1.5712,
+      "step": 45
+    },
+    {
+      "epoch": 0.4424778761061947,
+      "grad_norm": 7.171605587005615,
+      "learning_rate": 5.833333333333334e-05,
+      "loss": 1.546,
+      "step": 50
+    },
+    {
+      "epoch": 0.48672566371681414,
+      "grad_norm": 20.623746871948242,
+      "learning_rate": 5.370370370370371e-05,
+      "loss": 1.5379,
+      "step": 55
+    },
+    {
+      "epoch": 0.5309734513274337,
+      "grad_norm": 9.407456398010254,
+      "learning_rate": 4.9074074074074075e-05,
+      "loss": 1.6323,
+      "step": 60
+    },
+    {
+      "epoch": 0.5752212389380531,
+      "grad_norm": 8.466376304626465,
+      "learning_rate": 4.4444444444444447e-05,
+      "loss": 1.4755,
+      "step": 65
+    },
+    {
+      "epoch": 0.6194690265486725,
+      "grad_norm": 5.661746978759766,
+      "learning_rate": 3.981481481481482e-05,
+      "loss": 1.6249,
+      "step": 70
+    },
+    {
+      "epoch": 0.6637168141592921,
+      "grad_norm": 6.674346923828125,
+      "learning_rate": 3.518518518518519e-05,
+      "loss": 1.5234,
+      "step": 75
+    },
+    {
+      "epoch": 0.7079646017699115,
+      "grad_norm": 5.735414505004883,
+      "learning_rate": 3.055555555555556e-05,
+      "loss": 1.1557,
+      "step": 80
+    },
+    {
+      "epoch": 0.7522123893805309,
+      "grad_norm": 8.76235580444336,
+      "learning_rate": 2.5925925925925925e-05,
+      "loss": 1.7057,
+      "step": 85
+    },
+    {
+      "epoch": 0.7964601769911505,
+      "grad_norm": 12.130348205566406,
+      "learning_rate": 2.1296296296296296e-05,
+      "loss": 1.3106,
+      "step": 90
+    },
+    {
+      "epoch": 0.8407079646017699,
+      "grad_norm": 8.450634002685547,
+      "learning_rate": 1.6666666666666667e-05,
+      "loss": 1.5108,
+      "step": 95
+    },
+    {
+      "epoch": 0.8849557522123894,
+      "grad_norm": 10.024974822998047,
+      "learning_rate": 1.2037037037037037e-05,
+      "loss": 1.3794,
+      "step": 100
+    },
+    {
+      "epoch": 0.9292035398230089,
+      "grad_norm": 8.237189292907715,
+      "learning_rate": 7.4074074074074075e-06,
+      "loss": 1.2443,
+      "step": 105
+    },
+    {
+      "epoch": 0.9734513274336283,
+      "grad_norm": 29.493942260742188,
+      "learning_rate": 2.777777777777778e-06,
+      "loss": 1.6901,
+      "step": 110
+    },
+    {
+      "epoch": 1.0,
+      "step": 113,
+      "total_flos": 136942586363904.0,
+      "train_loss": 1.6811428829631974,
+      "train_runtime": 7619.7234,
+      "train_samples_per_second": 0.015,
+      "train_steps_per_second": 0.015
+    }
+  ],
+  "logging_steps": 5,
+  "max_steps": 113,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 1,
+  "save_steps": 500,
+  "stateful_callbacks": {
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": false,
+        "should_training_stop": false
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 136942586363904.0,
+  "train_batch_size": 1,
+  "trial_name": null,
+  "trial_params": null
+}

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9e06908491901e55bd30b1a2aaf7db93058aa23e6ac931277bf0aa1cc1f97b1d
+size 5112