Training in progress, step 2000, checkpoint

checkpoint-2000/README.md

@@ -1,6 +1,203 @@
 ---
 library_name: peft
+base_model: EleutherAI/polyglot-ko-1.3b
 ---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Data Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure 
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Data Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+
+
 ## Training procedure
 
 
@@ -16,6 +213,13 @@ The following `bitsandbytes` quantization config was used during training:
 - bnb_4bit_use_double_quant: False
 - bnb_4bit_compute_dtype: float32
 
+### Framework versions
+
+
+- PEFT 0.6.1
+## Training procedure
+
+
 The following `bitsandbytes` quantization config was used during training:
 - quant_method: bitsandbytes
 - load_in_8bit: True
@@ -27,8 +231,8 @@ The following `bitsandbytes` quantization config was used during training:
 - bnb_4bit_quant_type: fp4
 - bnb_4bit_use_double_quant: False
 - bnb_4bit_compute_dtype: float32
+
 ### Framework versions
 
-- PEFT 0.5.0
 
-- PEFT 0.5.0
+- PEFT 0.6.1

checkpoint-2000/adapter_config.json

@@ -1,4 +1,5 @@
 {
+  "alpha_pattern": {},
   "auto_mapping": null,
   "base_model_name_or_path": "EleutherAI/polyglot-ko-1.3b",
   "bias": "none",
@@ -12,6 +13,7 @@
   "modules_to_save": null,
   "peft_type": "LORA",
   "r": 16,
+  "rank_pattern": {},
   "revision": null,
   "target_modules": [
     "query_key_value"

checkpoint-2000/adapter_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:ed689316d9c46cdbf470d9171fc41cba1e4ce89a785742523f44908a1fc538ba
+oid sha256:7a702a7db33571689a56c4f852f39214429ffbe3e48396cc77c1c958229d52d0
 size 12600958

checkpoint-2000/adapter_model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c40918184fdf027d7508d1e703680b5b77c7fd92b6ac12669fc7724ec8729960
+size 12589904

checkpoint-2000/optimizer.pt

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:98f0404082ad80a7bbc729c38a2265feca96709f29f38136ccd414531a4bae9f
+oid sha256:ead7c43f3cdd9626c48896e6364c0bff7c94bae7a791c58150f96ae8665c79ee
 size 25206586

checkpoint-2000/rng_state.pth

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:79344222b63b458b67e453472a91541e61de32d329369e7abb00c78cdad97f50
+oid sha256:a6ac27ea758426a3b98ceae96a0e75c1b6c7f75fbf9a963777bdc585f84d03c3
 size 14308

checkpoint-2000/scheduler.pt

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:1c8b661437e2748974b4081b2121d73c5323798e5067866473bf83006d1ce242
+oid sha256:b93deed359b7ecfc20399b822fb93dee4e81a0a2d4ecf55197d9d0bba3726780
 size 1064

checkpoint-2000/trainer_state.json

@@ -10,62 +10,62 @@
   "log_history": [
     {
       "epoch": 1.0,
-      "learning_rate": 1.2458471760797342e-06,
-      "loss": 2.3433,
+      "learning_rate": 9.966777408637875e-07,
+      "loss": 2.3466,
       "step": 300
     },
     {
       "epoch": 1.99,
-      "learning_rate": 2.4916943521594684e-06,
-      "loss": 2.3014,
+      "learning_rate": 1.993355481727575e-06,
+      "loss": 2.3107,
       "step": 600
     },
     {
       "epoch": 2.99,
-      "learning_rate": 3.737541528239203e-06,
-      "loss": 2.2329,
+      "learning_rate": 2.9900332225913626e-06,
+      "loss": 2.2553,
       "step": 900
     },
     {
       "epoch": 3.32,
-      "eval_loss": 2.1643757820129395,
-      "eval_runtime": 22.0069,
-      "eval_samples_per_second": 77.112,
-      "eval_steps_per_second": 4.862,
+      "eval_loss": 2.210308074951172,
+      "eval_runtime": 21.2106,
+      "eval_samples_per_second": 80.007,
+      "eval_steps_per_second": 5.045,
       "step": 1000
     },
     {
       "epoch": 3.99,
-      "learning_rate": 4.983388704318937e-06,
-      "loss": 2.182,
+      "learning_rate": 3.98671096345515e-06,
+      "loss": 2.2071,
       "step": 1200
     },
     {
       "epoch": 4.98,
-      "learning_rate": 6.229235880398672e-06,
-      "loss": 2.1362,
+      "learning_rate": 4.983388704318937e-06,
+      "loss": 2.1719,
       "step": 1500
     },
     {
       "epoch": 5.98,
-      "learning_rate": 7.475083056478406e-06,
-      "loss": 2.1095,
+      "learning_rate": 5.980066445182725e-06,
+      "loss": 2.1433,
       "step": 1800
     },
     {
       "epoch": 6.64,
-      "eval_loss": 2.0594053268432617,
-      "eval_runtime": 21.9607,
-      "eval_samples_per_second": 77.274,
-      "eval_steps_per_second": 4.872,
+      "eval_loss": 2.1161131858825684,
+      "eval_runtime": 21.3287,
+      "eval_samples_per_second": 79.564,
+      "eval_steps_per_second": 5.017,
       "step": 2000
     }
   ],
   "logging_steps": 300,
-  "max_steps": 4816,
-  "num_train_epochs": 16,
+  "max_steps": 6020,
+  "num_train_epochs": 20,
   "save_steps": 1000,
-  "total_flos": 1.0446426034200576e+17,
+  "total_flos": 1.0342147657811558e+17,
   "trial_name": null,
   "trial_params": null
 }

checkpoint-2000/training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:55b0067f61a16c7877c7bed18e4feef50e9a468a1c17ef62ac22d2ec3050fa9e
-size 4536
+oid sha256:0bbc90361fc705dc9fa80bb85e7618f70795a6c215a2b3e43554043abd3f6a16
+size 4600