Model save

README.md

@@ -0,0 +1,63 @@
+---
+library_name: transformers
+license: apache-2.0
+base_model: mistralai/Mistral-7B-Instruct-v0.2
+tags:
+- trl
+- sft
+- generated_from_trainer
+datasets:
+- generator
+model-index:
+- name: Mistral-7B-Instruct-v0.2-iter-1
+  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. -->
+
+# Mistral-7B-Instruct-v0.2-iter-1
+
+This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) on the generator 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: 2e-05
+- train_batch_size: 8
+- eval_batch_size: 2
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 4
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 128
+- total_eval_batch_size: 8
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 3
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.45.2
+- Pytorch 2.4.0+cu121
+- Datasets 3.0.1
+- Tokenizers 0.20.3

all_results.json

@@ -0,0 +1,9 @@
+{
+    "epoch": 2.4,
+    "total_flos": 1151588106240.0,
+    "train_loss": 1.095450758934021,
+    "train_runtime": 328.1279,
+    "train_samples": 1000,
+    "train_samples_per_second": 1.198,
+    "train_steps_per_second": 0.009
+}

generation_config.json

@@ -0,0 +1,6 @@
+{
+  "_from_model_config": true,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "transformers_version": "4.45.2"
+}

train_results.json

@@ -0,0 +1,9 @@
+{
+    "epoch": 2.4,
+    "total_flos": 1151588106240.0,
+    "train_loss": 1.095450758934021,
+    "train_runtime": 328.1279,
+    "train_samples": 1000,
+    "train_samples_per_second": 1.198,
+    "train_steps_per_second": 0.009
+}

trainer_state.json

@@ -0,0 +1,63 @@
+{
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 2.4,
+  "eval_steps": 500,
+  "global_step": 3,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.8,
+      "grad_norm": 29.86801670834852,
+      "learning_rate": 2e-05,
+      "loss": 0.8682,
+      "step": 1
+    },
+    {
+      "epoch": 1.6,
+      "grad_norm": 29.93864110397877,
+      "learning_rate": 1e-05,
+      "loss": 0.8672,
+      "step": 2
+    },
+    {
+      "epoch": 2.4,
+      "grad_norm": 49.4294477132076,
+      "learning_rate": 0.0,
+      "loss": 1.551,
+      "step": 3
+    },
+    {
+      "epoch": 2.4,
+      "step": 3,
+      "total_flos": 1151588106240.0,
+      "train_loss": 1.095450758934021,
+      "train_runtime": 328.1279,
+      "train_samples_per_second": 1.198,
+      "train_steps_per_second": 0.009
+    }
+  ],
+  "logging_steps": 1,
+  "max_steps": 3,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 3,
+  "save_steps": 999999,
+  "stateful_callbacks": {
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": true
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 1151588106240.0,
+  "train_batch_size": 8,
+  "trial_name": null,
+  "trial_params": null
+}