tutorial(training): Add a minimal example with trl (#473)

* v0

* 2 gpu setup

* improve parsing from yaml

* update yaml dataset example

* remove restriction on flash attn

* more comments

* first version of the readme

* pin torch

* simplify requirements

* just flash attn

* use set env instead

* simpler set env

* readme

* add wandb project to setup

* update template

* update model id

* post init to capture the config and weight

* extract metadata

* update config

* update dataset config

* move env for wandb project

* pre-commit

* remove qwen-math from training

* more instructions

* unused import

* remove trl old

* warmup ratio

* warmup ratio

* change model id

* change model_id

* add info about CUDA_VISIBLE_DEVICES

examples/trl/config/ds_zero2.yaml

@@ -0,0 +1,22 @@
+compute_environment: LOCAL_MACHINE
+debug: false
+deepspeed_config:
+  deepspeed_multinode_launcher: standard
+  offload_optimizer_device: none
+  offload_param_device: none
+  zero3_init_flag: false
+  zero_stage: 2
+  gradient_clipping: auto
+distributed_type: DEEPSPEED
+downcast_bf16: 'no'
+machine_rank: 0
+main_training_function: main
+mixed_precision: bf16
+num_machines: 1
+num_processes: 2
+rdzv_backend: static
+same_network: true
+tpu_env: []
+tpu_use_cluster: false
+tpu_use_sudo: false
+use_cpu: false