Model save

README.md

@@ -0,0 +1,68 @@
+---
+library_name: transformers
+tags:
+- trl
+- sft
+- generated_from_trainer
+datasets:
+- generator
+model-index:
+- name: orca-gpt4-wik-revise
+ 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. -->
+
+# orca-gpt4-wik-revise
+
+This model was trained from scratch on the generator dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.0593
+
+## 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: 4
+- eval_batch_size: 4
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 8
+- gradient_accumulation_steps: 32
+- total_train_batch_size: 1024
+- total_eval_batch_size: 32
+- 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
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 1.3697 | 0.9389 | 12 | 1.2250 |
+| 1.0231 | 1.9560 | 25 | 1.0662 |
+| 0.901 | 2.8166 | 36 | 1.0593 |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.4.1+cu121
+- Datasets 2.21.0
+- Tokenizers 0.19.1

all_results.json

@@ -0,0 +1,9 @@
+{
+ "epoch": 2.8166259168704157,
+ "total_flos": 120497991843840.0,
+ "train_loss": 1.135702931218677,
+ "train_runtime": 11898.7844,
+ "train_samples": 49800,
+ "train_samples_per_second": 3.299,
+ "train_steps_per_second": 0.003
+}

generation_config.json

@@ -0,0 +1,6 @@
+{
+ "_from_model_config": true,
+ "bos_token_id": 1,
+ "eos_token_id": 2,
+ "transformers_version": "4.44.2"
+}

train_results.json

@@ -0,0 +1,9 @@
+{
+ "epoch": 2.8166259168704157,
+ "total_flos": 120497991843840.0,
+ "train_loss": 1.135702931218677,
+ "train_runtime": 11898.7844,
+ "train_samples": 49800,
+ "train_samples_per_second": 3.299,
+ "train_steps_per_second": 0.003
+}

trainer_state.json

@@ -0,0 +1,122 @@
+{
+ "best_metric": null,
+ "best_model_checkpoint": null,
+ "epoch": 2.8166259168704157,
+ "eval_steps": 500,
+ "global_step": 36,
+ "is_hyper_param_search": false,
+ "is_local_process_zero": true,
+ "is_world_process_zero": true,
+ "log_history": [
+ {
+ "epoch": 0.07823960880195599,
+ "grad_norm": 24.32354215756571,
+ "learning_rate": 5e-06,
+ "loss": 1.579,
+ "step": 1
+ },
+ {
+ "epoch": 0.39119804400978,
+ "grad_norm": 49.96314997488065,
+ "learning_rate": 1.995184726672197e-05,
+ "loss": 1.4677,
+ "step": 5
+ },
+ {
+ "epoch": 0.78239608801956,
+ "grad_norm": 4.9439904702205855,
+ "learning_rate": 1.8314696123025456e-05,
+ "loss": 1.3697,
+ "step": 10
+ },
+ {
+ "epoch": 0.9388753056234719,
+ "eval_loss": 1.2249956130981445,
+ "eval_runtime": 6.2806,
+ "eval_samples_per_second": 8.439,
+ "eval_steps_per_second": 0.318,
+ "step": 12
+ },
+ {
+ "epoch": 1.17359413202934,
+ "grad_norm": 5.393870573942289,
+ "learning_rate": 1.4713967368259981e-05,
+ "loss": 1.2118,
+ "step": 15
+ },
+ {
+ "epoch": 1.56479217603912,
+ "grad_norm": 1.7797044387765701,
+ "learning_rate": 1e-05,
+ "loss": 1.0764,
+ "step": 20
+ },
+ {
+ "epoch": 1.9559902200488999,
+ "grad_norm": 1.307540863093363,
+ "learning_rate": 5.286032631740023e-06,
+ "loss": 1.0231,
+ "step": 25
+ },
+ {
+ "epoch": 1.9559902200488999,
+ "eval_loss": 1.066247820854187,
+ "eval_runtime": 8.3677,
+ "eval_samples_per_second": 6.334,
+ "eval_steps_per_second": 0.239,
+ "step": 25
+ },
+ {
+ "epoch": 2.34718826405868,
+ "grad_norm": 1.1252690680547968,
+ "learning_rate": 1.6853038769745466e-06,
+ "loss": 0.93,
+ "step": 30
+ },
+ {
+ "epoch": 2.73838630806846,
+ "grad_norm": 0.7799666146844121,
+ "learning_rate": 4.815273327803183e-08,
+ "loss": 0.901,
+ "step": 35
+ },
+ {
+ "epoch": 2.8166259168704157,
+ "eval_loss": 1.0592604875564575,
+ "eval_runtime": 8.1855,
+ "eval_samples_per_second": 6.475,
+ "eval_steps_per_second": 0.244,
+ "step": 36
+ },
+ {
+ "epoch": 2.8166259168704157,
+ "step": 36,
+ "total_flos": 120497991843840.0,
+ "train_loss": 1.135702931218677,
+ "train_runtime": 11898.7844,
+ "train_samples_per_second": 3.299,
+ "train_steps_per_second": 0.003
+ }
+ ],
+ "logging_steps": 5,
+ "max_steps": 36,
+ "num_input_tokens_seen": 0,
+ "num_train_epochs": 3,
+ "save_steps": 100,
+ "stateful_callbacks": {
+ "TrainerControl": {
+ "args": {
+ "should_epoch_stop": false,
+ "should_evaluate": false,
+ "should_log": false,
+ "should_save": true,
+ "should_training_stop": true
+ },
+ "attributes": {}
+ }
+ },
+ "total_flos": 120497991843840.0,
+ "train_batch_size": 4,
+ "trial_name": null,
+ "trial_params": null
+}